CN111539783A - Real estate investment analysis support device, method, and recording medium - Google Patents
Real estate investment analysis support device, method, and recording medium Download PDFInfo
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Abstract
The invention provides a real estate investment analysis auxiliary device and method, and a recording medium, which assist in analyzing operation actual performance of investing assets from various viewpoints. The real estate investment analysis support device is provided with: an object information storage unit for storing information on an object of real estate for investment; an owner information storage unit that stores information relating to an owner of an object; a rental information storage unit that stores information relating to a rental status of an item; a loan repayment information storage unit that stores information relating to the loan of the object; an input unit for receiving an input of an analysis condition from an analyst; a processing unit that processes information relating to investment for a first item associated with an analyst, based on information stored in the item information storage unit, the owner information storage unit, the rental information storage unit, and the loan repayment information storage unit, in accordance with the analysis condition accepted by the input unit; and an output unit that outputs the information on the investment processed by the processing unit.
Description
Technical Field
The present invention relates to a real estate investment analysis assistance device, a real estate investment analysis assistance method, and a real estate investment analysis assistance program.
Background
Conventionally, a technique for analyzing investment in real estate has been proposed. For example, patent document 1 discloses an investment management system for all office buildings, which improves the commercial interests of enterprises on both the supply side and all the supply side of all the office buildings, and clarifies the profit and loss in the future. The office building investment management system analyzes the current various conditions of all office building objects to be invested, analyzes the investment effect and risk of the supply-side enterprise and all-side enterprise based on financial statements and the like when the economic condition is constantly shifted, and analyzes the investment effect and risk based on financial statements and consumption tax simulation result lists created based on the economic condition which is supposed to take into account the trend of the object condition and the consumption tax rate, thereby providing an index of business development.
Patent document 1: japanese patent laid-open publication No. 2016-157162
As in the prior art, it is important to clarify future profit and loss based on financial reports. On the other hand, in order to further improve the commercial interest by investing in real estate for investment, it is essential to analyze the comprehensiveness and various points of view obtained from the investment portfolio of a plurality of real estate investments owned by the owner of real estate, not only considering the sections and attributes of real estate itself, but also taking into account the process of achieving the investment and maintenance and management of the acquired real estate. Further, not only the own investment real estate but also the investment performance of real estate owners other than the own is often compared from various viewpoints, and much will be inspired for the investment in the future.
Disclosure of Invention
The present invention has been made in view of the above circumstances, and provides a real estate investment analysis support device, a real estate investment analysis support method, and a real estate investment analysis support program that support analysis of operation performance and the like of asset investment from various viewpoints.
In order to solve the above problem, there is provided a real estate investment analysis support device for supporting an analyst in performing investment analysis of real estate, the real estate investment analysis support device including: an object information storage unit for storing information on an object of real estate for investment; an owner information storage unit that stores information relating to an owner of an object; a rental information storage unit that stores information relating to a rental status of an item; a loan repayment information storage unit that stores information relating to the loan of the object; an input unit for receiving an input of an analysis condition from an analyst; a processing unit that processes information on investment for a first item, which is an item related to an analyst, according to the analysis condition accepted by the input unit, based on information stored in the item information storage unit, the owner information storage unit, the rental information storage unit, and the loan repayment information storage unit; and an output unit that outputs the information on the investment processed by the processing unit.
Thus, it is possible to provide a real estate investment analysis support device that supports analysis of operation performance of investing real estate from various viewpoints by providing information on investments for objects related to analysts based on various analysis conditions.
The real estate investment analysis support device may be characterized in that the processing unit processes information relating to an investment in a second item, which is not related to an analyst, on the basis of the analysis conditions received by the input unit, and the output unit may output the information relating to the investment in the first item in association with the information relating to the investment in the second item.
By providing information on investment for an item related to an analyst and an item not related to the analyst in association with each other, it is possible to compare investment performance with real estate not related to the analyst, and to assist in obtaining advice on investment in the future.
The real estate investment analysis support device may further include a profitability determination unit that determines profitability of the object, wherein the profitability determination unit determines profitability of the first object based on information on investment for the first object and information on investment for the second object, and the output unit may output information on profitability determined by the profitability determination unit.
Thus, by providing an index for determining profitability of an item related to an analyst based on information on investment for the item related to the analyst and an item not related to the analyst, more direct support regarding investment in the future can be provided.
The real estate investment analysis support device may be characterized in that the profitability determination unit determines the profitability of the first item after the current building age based on the profitability of the second item after the current building age of the first item.
This makes it possible to determine profitability of an item related to the analyst after the current building age based on profitability of an item not related to the analyst after the current building age of the item related to the analyst.
In order to solve the above problems, there is provided a real estate investment analysis support method for supporting an analyst in analyzing the investment of real estate, the method comprising: storing information relating to the items of real estate for investment; storing information relating to an owner of the item; storing information relating to a rental status of the item; storing information relating to the borrowing of the item; receiving an input of an analysis condition from an analyst; processing information on investment for an item associated with an analyst according to the accepted analysis conditions based on the stored information on the item, information on the owner, information on the rental status, and information on the loan; and outputting the processed information relating to the investment.
Thus, it is possible to provide a real estate investment analysis support method that supports analysis of operation performance of investing real estate from various viewpoints by providing information on investments for objects related to analysts based on various analysis conditions.
In order to solve the above problem, the present invention provides a recording medium storing a real estate investment analysis support program for causing a computer to execute a method for supporting an analyst in investment analysis of real estate, the real estate investment analysis support program causing the computer to execute the following real estate investment analysis support method: storing information relating to the items of real estate for investment; storing information relating to an owner of the item; storing information relating to a rental status of the item; storing information relating to the borrowing of the item; receiving an input of an analysis condition from an analyst; processing information on investment for an item associated with an analyst according to the accepted analysis conditions based on the stored information on the item, information on the owner, information on the rental status, and information on the loan; and outputting the processed information relating to the investment.
Thus, it is possible to provide a real estate investment analysis support program that supports analysis of operation performance of investing real estate from various viewpoints by providing information on investments for objects related to analysts based on various analysis conditions.
Effects of the invention
As described above, according to the present invention, it is possible to provide a real estate investment analysis support device, a real estate investment analysis support method, and a real estate investment analysis support program that support analysis of operation performance and the like of asset real estate from various viewpoints.
Drawings
Fig. 1 is a schematic structural diagram of a social network service system according to a first embodiment of the present invention.
Fig. 2 is a functional block diagram of a social network service processing device according to a first embodiment of the present invention.
Fig. 3 is a block diagram of a real estate investment analysis assistance apparatus in the social network service system according to the first embodiment of the present invention.
Fig. 4 is a hardware configuration diagram of the real estate investment analysis support device according to the first embodiment of the present invention.
Fig. 5 is a flowchart showing the processing of the real estate investment analysis support device according to the first embodiment of the present invention.
Fig. 6 is an example of a database (example of owner input) included in the storage unit of the real estate investment analysis support device according to the first embodiment of the present invention.
Fig. 7 shows an example of a database (an example of an input by a management company) included in the storage unit of the real estate investment analysis support device according to the first embodiment of the present invention.
Fig. 8 is a graph showing an example of profitability of the real estate investment analysis support device according to the first embodiment of the present invention, for each building age.
Fig. 9 is an example of a table of the property information in the property information storage unit of the property investment analysis supporting apparatus according to the first embodiment of the present invention.
Fig. 10 is an example of a table of owner information in the owner information storage unit of the real estate investment analysis support device according to the first embodiment of the present invention.
Fig. 11 is an example of a table of rental information in the rental information storage unit of the real estate investment analysis assisting apparatus according to the first embodiment of the present invention.
Fig. 12 is an example of a table of the loan repayment information in the loan repayment information storage unit of the real estate investment analysis assistance device according to the first embodiment of the present invention.
Fig. 13 is a main display screen output by the social network service processing device according to the first embodiment of the invention. (A) The homepage is (a), (B) is a home screen of a blog function, (C) is a home screen of a tweet function, (D) is a home screen of a Q & a (question and answer) function, (E) is a home screen of a community function, (F) is a home screen of a news function, (G) is a home screen of an asset analysis function, and (H) is a home screen of a search function.
Fig. 14 is an example of an output display (list of management companies) of the output unit of the real estate investment analysis support device according to the first embodiment of the present invention.
Fig. 15 is an example of an output display (cash flow per management company) of the output unit of the real estate investment analysis support device according to the first embodiment of the present invention.
Fig. 16 shows an example of output display (income (a) and expenditure (B) for the management company) of the output unit of the real estate investment analysis support device according to the first embodiment of the present invention.
Fig. 17 shows an example of output display (loan information (a) and operation status (B) for each management company) of the output unit of the real estate investment analysis support device according to the first embodiment of the present invention.
Fig. 18 is an example of an output display (item list) of the output unit of the real estate investment analysis support device according to the first embodiment of the present invention.
Fig. 19 is an example of an output display (cash flow by item) of the output unit of the real estate investment analysis assisting apparatus according to the first embodiment of the present invention.
Fig. 20 shows an example of output display (income (a) and expenditure (B) for each item) of the output unit of the real estate investment analysis support device according to the first embodiment of the present invention.
Fig. 21 shows an example of output display (loan information (a) and operation status (B)) of the output unit of the real estate investment analysis support device according to the first embodiment of the present invention.
Fig. 22 shows an example of an output display of the output unit of the real estate investment analysis support device according to the first embodiment of the present invention (an example in which an item related to an analyst is output in association with an item not related to the analyst).
Description of the reference symbols
1 real estate investment analysis auxiliary system (social network service system)
100 real estate investment analysis auxiliary device (social network service device)
10 control part
11 treatment section
12 determination part
13 input unit
14 output part
20 storage part
21 object information storage part
22 owner information storage unit
23 rental information storage unit
24 loan repayment information storage unit
30 communication unit
200 user's terminal
300 network
Detailed Description
Hereinafter, embodiments of the present invention will be described with reference to the drawings.
< first embodiment >
Referring to fig. 1 to 22, the real estate investment analysis support system 1 and the real estate investment analysis support device 100 in the present embodiment are described. In addition, an example is shown in which the real estate investment analysis assistance system 1 is implemented as a part of a social network service system, and the real estate investment analysis assistance apparatus 100 is implemented as a part of a social network service apparatus. In this specification, the social network service processing device is also referred to as an SNS processing device.
As shown in fig. 1, the social network service system 1 is a system including an SNS processing device 100 and a plurality of terminals 200 capable of communicating with each other by connecting to a network 300. The SNS processing device 100 processes, executes, and controls functions of social network services. The terminal 200 displays information related to the social network service to a user who uses the social network service, and accepts an operation by the user.
The network 300 is an arbitrary communication line or communication network that can realize information processing and data-related communication between the SNS processing device 100 and the terminal 200. Thus, the network 300 may be a Wide Area Network (WAN), a wired network, a fiber optic network, a wireless network (e.g., a mobile or cellular network), a cellular or telecommunications network (e.g., WIFI, Long Term Evolution (LTE) network), or any suitable combination thereof. Network 300 may include one or more portions of a private network, a public network (e.g., the internet), or any suitable combination thereof. These are examples, and the present invention is not limited to these.
Fig. 4 shows an example of a hardware configuration of the SNS processing device 100 as a server. The SNS processing device 100 is, for example, a server computer, and is accessed by a plurality of terminals 200 to realize a function of a social network service. The terminal 200 is an information processing apparatus such as a personal computer or a smartphone, and is operated by a user who is a member of the social network service. The server has a function as, for example, a Web server, and provides a service related to the social network service to the user of the terminal 200 through the browser.
The SNS processing device 100 includes: an arithmetic device 110 (control unit 10) composed of a CPU (Central processing unit); a storage unit 20 including a Memory 111 such as a ROM (Read Only Memory) or a RAM (random access Memory) and an external storage device 120 such as a hard disk or a Memory; a communication device 130 (communication unit 30) serving as a network interface connected to the network 300; an input device 150 such as a keyboard and a mouse for use by a manager of the server; an output device 140 such as a display and a printer for displaying various information; and a medium drive device 122 that drives a non-transitory computer-readable recording medium such as a DVD (Digital Versatile Disk) or a CD-ROM (Compact Disk read Only Memory), reads and writes software and programs recorded in the recording medium, and is connected to each other via a transmission path 101 including a system bus such as an internal bus, an external bus, and an expansion bus.
The control Unit 10 realizes its function by an arithmetic Unit 110 (CPU) and collectively controls the SNS Processing device 100. The control unit 10 has an internal memory for storing a control program such as an OS (Operating System), a program defining various processing procedures, required data, and the like, and executes various information processing based on the stored program.
The storage unit 20 realizes its functions by the memory 111 and the external storage device 120, and stores various databases, tables, files, and the like. The storage unit 20 stores a computer program for performing various processes in cooperation with the OS and issuing instructions to the control unit 10. These computer programs are various programs for providing websites, programs for realizing functions provided by a social network service as a service, programs for realizing functions provided by a real estate investment analysis support method as a service, and the like.
For example, all or any part of the processing functions provided in the SNS processing device 100, particularly the processing functions performed by the control unit 10, may be realized by a CPU and a program translated and executed by the CPU, or may be realized as hardware based on wired logic. In addition, the program may be recorded in a non-transitory computer-readable recording medium containing programmed instructions for causing the CPU to execute the processing described in the present embodiment, and read into the SNS processing device 100 via the medium drive device 122 as necessary. The recording medium includes any "portable physical medium" such as a DVD. Therefore, a recording medium storing a program for executing the processing or the processing method described in this specification also constitutes the present invention. The computer program is loaded into the RAM and executed, and configures the control unit 10 in cooperation with the CPU.
Further, the program may be stored in an application server connected to the SNS processing device 100 via an arbitrary network, and all or a part thereof may also be downloaded as needed. The "program" is a data processing method described in an arbitrary language or description method, and may be in the form of source code, binary code, or the like. The "program" is not necessarily limited to a program configured as a single unit, and includes a program configured as a plurality of modules or libraries distributed and a program that realizes its function in cooperation with a single program typified by an OS. Further, as for the specific structure and reading process for reading the recording medium and the mounting process after reading and the like in each of the above-described apparatuses, a known structure and process may be used.
The SNS processing device 100 may be configured as an information processing device such as a known personal computer or workstation, or may be configured as such an information processing device to which an arbitrary peripheral device is connected. In addition, the SNS processing device 100 can also be implemented by installing software (including programs, data, and the like) that implements the processing described above. The SNS processing device 100 is not limited to the illustrated embodiments, and may be functionally or physically distributed or integrated in any unit and may be partially or wholly configured according to the load of the function.
The communication device 130 receives data and the like from the terminal 200 via the network 300 and transmits the data and the like to the operation device 110, and transmits data and the like generated by the operation device 110 to the terminal 200 via the network 300. Communication device 130 is a Network interface for connecting to terminal 200 via Network 300, and more specifically, is a communication device such as a LAN (Local Area Network) card.
The input device 150 and the output device 140 are controlled by the arithmetic device 110 via an input-output interface. The arithmetic unit 110 acquires data and the like from the input device 150 and outputs the generated data and the like to the output device 140. The input device 150 is typically a device directly connected locally to a server, such as a keyboard, a mouse, or a touch panel, but may also be a device that remotely accesses and operates the SNS processing device 100 via the network 300. The output device 140 is also typically a device such as a display or a printer that is directly connected locally to the server, but may also be a device that is remotely connected via the network 300.
In the present specification, the term "output" includes a case where the arithmetic device 110 outputs to a device other than the arithmetic device 110. For example, "output" includes: the case where the computing device 110 (control unit 10) outputs the data to the network 300 connected to the terminal 200 via the transmission path 101 and the communication device 130; the case where the arithmetic device 110 (control unit 10) outputs the data to the remote device via the transmission path 101 and the output device 140; and a case where the arithmetic device 110 (control unit 10) outputs the data to the media drive device 122 loaded with the external storage device 120 or the writable recording medium via the transmission path 101.
Referring to fig. 2, the function of the SNS processing device 100 will be described. The SNS processing device 100 provides a social network service related to work or business by using, as members, business persons related to the transaction or maintenance management of real estate for investment, lawyers or judicial agents for assisting the business persons, insurance agents, and other business persons (users in a narrow sense), and general consumers (users in a broad sense) who receive the service from the business persons. In the SNS processing device 100, a user registers and becomes a member to receive a social network service. More specifically, the SNS processing device 100 includes a communication function F10, a search function F20, a blog function F30, a tweet function F40, a Q & a function F50, a community function F60, a news function F70, and an asset analysis function F80.
The communication function F10 is a function of assisting communication between users in a narrow sense and between a user in a narrow sense and a user in a broad sense, and is a so-called chat function of exchanging messages in a conversational manner. The communication function F10 has a message space that stores messages sent and received between users and can be viewed/edited only by the user. When a request from the user is received, the control unit 10 reads the message in the message space of the user from the storage unit 20 and outputs the read message via the communication unit 30. The communication function F10 has a user interface that displays messages sent and received between the users in a time series arrangement.
The retrieval function F20 is a function for retrieving a member registered with the social network service. The search is performed mainly by inputting a search condition of a narrow user to be found from the narrow users by the wide and narrow users. The search function F20 receives a search condition input by a user, searches a database (not shown) storing information on users who are members of the social network service for users who meet the narrow definition of the search condition, and outputs users who meet the search condition.
The blog function F30 is a function of providing a website displayed in time series for a user with respect to a topic such as business, personal experience, news related to work, or current affairs. The blog function F30 is the same function as a blog that is generally provided on the internet. The blog function F30 assists a certain user in sending a topic or article to an unspecified user who is registered with the social network service or an unspecified large number of users who access the internet. In the case where a user who has read a blog resonates with a text or the like provided through the blog function F30 or wants to make a consultation at work, the user of a text may be paid attention to the user in the below-described tweet function F40 or a question may be posed to the user of the text in the Q & a function F50 in order to establish a new personal relationship with the user of the text first.
The tweet function F40 is a function also called a microblog function, and is a function by which a user issues his/her own opinion, feeling, situation, and the like in a short sentence, and the user who pays attention to the user can browse the post and the like. Since the contents to be distributed are short texts and are easily updated, a large number of distributions can be performed, and since a reply can be made to the distribution, near real-time exchange can be performed.
The Q & a function F50 is a function of assisting a user in asking questions of questionable contents or contents required for services or the like to a specific user or a non-specific user, and answering the questions by other users. For example, a general user (a general user) may ask another general user (a general user) about the content of the question, or may ask a business person (a narrow user) who manages the item for purchase of the asset. The user who receives the consultation establishes the interpersonal relationship by quickly making an appropriate answer to the consultation.
The community function F60 is a function of facilitating communication within a group of users interested in a particular interest or topic. The message space may be a bulletin board or a tool for communication that can be accessed only by users belonging to the group, or may be a message space that can be accessed only by users belonging to the group.
The news function F70 is a function for posting news related to real estate by referring to it from another news site.
The asset analysis function F80 is a function (asset Navi function) for assisting a general user or a business person in analyzing investment of own proprietary or own managed real estate. The user can comprehensively analyze all the objects of the user from various viewpoints. The details are described later.
Each of the above-described functions outputs a screen (user interface) of a smartphone as the terminal 200 shown in fig. 13. Of course, the SNS processing device 100 may also have a function of outputting a screen to a personal computer. The SNS processing device 100 outputs a homepage shown in fig. 13(a) to a user who has accessed the provided social network service, and causes it to be displayed on the user's smartphone. On the homepage, icons called "news", "blog", "community", "big Q & a", "search service person", "property Navi", "tweet", and "communication" are displayed, and the corresponding functions are called by touching the icons by the user.
For example, when the user touches a "news" icon on the homepage, a signal generated by the touch is transmitted to the SNS processing device 100 via the network 300, thereby calling the news function F70. The invoked news function F70 outputs a screen as shown in fig. 13(F), distributes real estate-related news referenced from other news sites to the user, and the like.
In addition, when the user touches the "blog" icon on the homepage, a signal generated by the touch is transmitted to the SNS processing device 100, thereby calling the blog function F30. The called blog function F30 outputs a screen as shown in fig. 13(B), and outputs a list of subscribed blogs. The blog function F30 outputs the content of the blog touched on the screen and causes it to be appropriately displayed on the smartphone.
In addition, when the user touches the "community" icon on the homepage, a signal generated by the touch is transmitted to the SNS processing device 100, thereby calling the community function F60. The invoked community function F60 outputs a screen as shown in fig. 13(E), and outputs a list of participating communities. The community function F60 outputs the content in the community touched on the screen, and causes the content to be appropriately displayed on the smartphone.
In addition, when the user touches the "Q & a of the person" icon on the homepage, a signal generated by the touch is passed to the SNS processing device 100, thereby calling the Q & a function F50. The called Q & a function F50 outputs a screen as shown in fig. 13(D), and outputs a list of Q & as of interest. The Q & a function F50 outputs the content of the Q & a touched on the screen, and appropriately displays the content on the smartphone.
Further, when the user touches the "tweet" icon on the homepage, a signal generated by the touch is transmitted to the SNS processing device 100, thereby calling the tweet function F40. The invoked tweet function F40 outputs a screen as shown in fig. 13(C), and outputs a list of users concerned and a screen for writing a tweet by themselves. The text pushing function F40 outputs the published content of the user touched on the screen, and appropriately displays the content on the smartphone. Further, the tweet function F40 outputs a screen of a user interface including an input area for a user who performs an operation to distribute content, and also outputs and displays content distributed by himself.
In addition, when the user touches the "messenger" icon on the homepage, a signal generated by the touch is transmitted to the SNS processing device 100, thereby calling the messenger function F10. The communication function F10 outputs a message exchanged with the user touched on the screen, and appropriately displays the message on the smartphone.
In addition, when the user touches the "search service person" icon on the homepage, a signal generated by the touch is transmitted to the SNS processing device 100, thereby calling the retrieval function F20. The called search function F20 outputs a screen as shown in fig. 13H, and outputs a list of service providers (users in a narrow sense) who meet the search conditions. The search function F20 outputs information on the service person touched on the screen, and appropriately displays the information on the screen of the smartphone or the personal computer.
When the user touches the "property Navi" icon on the homepage, a signal generated by the touch is transmitted to the SNS processing device 100, thereby calling the property analysis function F80. The called asset analysis function F80 outputs a screen as shown in fig. 13(G), and outputs a list of assets as investment real estate relating to the user who performs the operation, and information such as the balance status thereof, and appropriately displays the list on the smartphone.
The asset analysis function F80 is executed by the real estate investment analysis assisting device 100 constructed on the same server as the SNS processing device 100. Of course, the asset analysis function F80 may be performed by the real estate investment analysis assisting device 100 constructed on a separate server connected to the network 300 than the SNS processing device 100. The real estate investment analysis support device 100 supports a user using the asset analysis function F80 to perform investment analysis of the operation performance of the investment real estate of the user from various viewpoints.
Referring to fig. 3, a real estate investment analysis support device 100 having an asset analysis function F80 will be described. The real estate investment analysis support device 100 includes a control unit 10, a storage unit 20, and a communication unit 30. The storage unit 20 of the real estate investment analysis support device 100 includes: an article information storage unit 21 for storing information on an article of real estate for investment; an owner information storage unit 22 for storing information on the owner of the object; a rental information storage unit 23 for storing information on the rental status of the item; and a loan repayment information storage unit 24 for storing information relating to the loan of the object. The control unit 10 of the real estate investment analysis support device 100 includes: an input unit 13 for receiving an input of analysis conditions from an analyst; a processing unit 14 that processes information on investment for a first item, which is an item related to an analyst, based on information stored in the item information storage unit 21, the owner information storage unit 22, the rental information storage unit 23, and the loan repayment information storage unit 24, in accordance with the analysis condition received by the input unit 13; an output unit 14 for outputting the information on the investment processed by the processing unit 11; and a profitability determination unit 12 for determining profitability of the object.
The various information contained in the storage unit 20 is created as shown in fig. 6 and 7. Fig. 6 shows an example in the case where the user as the analyst is the owner and the management company is not entrusted to manage the items associated with the owner. In S200, the owner stores information (item information) on an item of real estate for investment, which is related to the owner, in the item information storage unit 21. The property information is stored in a property information table as shown in fig. 9. The item information table has, in columns, an inherent item ID numbered when an item is registered, a name of the item, a location of the item, a construction year of the item (construction completion year, month, and day), a structure of the item, the number of layers of the item, a rental room number in the item, an area of the room, a layout of the room, a rental start year, month, and day of the room, and a management company of the room. In the case where there is no management company, the column of the management company is blank. In the figure, 3 object IDs are stored as records as an example, and when object information is newly created, the object IDs are numbered and the records are added. For example, it is shown that an object with an object ID of a00001 is managed by o real estate as a management company, and an object of a00090 is managed by o Δ real estate as a management company.
In S200, the owner stores information (owner information) about the owner itself in the owner information storage unit 22. The owner information is stored in an owner information table as shown in fig. 10. The owner information table has, in a column, an inherent owner ID numbered at the time of registration of the owner, the name of the owner, the address of the owner, and the object ID owned by the owner. In the figure, two owner IDs are stored as records as an example, and when owner information is newly created, the owner IDs are numbered and the records are added. For example, an owner with an owner ID of B00001 is shown to own two items (A00001 and A00090).
In S200, the owner stores information (rental information) about the rental status of the item in the rental information storage unit 23. The rental information is stored in the rental information table shown in fig. 11. The lease information table has an item ID, a tenant of the item, an address of the tenant, a year, month and day of the tenant's stay, a year, month and day of the tenant's lease withdrawal, a rent of the item, a gift (month and day) of the item, a deposit (month and day) of the item, a payment status of the tenant, and a usage mode of the item in a column. In the figure, 4 item IDs are stored as records as an example, and when tenant information is newly created, the records are added using the item IDs as keys. For example, it is shown that an item having an item ID of a00001 is rented by "zoxtamang" from 6/1/2015 to 4/2016 and 30/2016, and is rented by "gardney" until now after 9/1/2016. Since the construction date of the a00001 item is 2015, 4, month, and 1 day according to the item information, it is shown that the lessee checked in 1 month after construction, and then there is an empty period of 4 months.
In S200, the owner stores information (loan repayment information) on the loan of the item in the loan repayment information storage unit 24. The loan repayment information is stored in a loan repayment information table as shown in fig. 12. The loan repayment information table has an article ID, the presence or absence of a mortgage right, a top payment amount, a loan amount, a total repayment amount, an operation month, a check-in month, a rent income amount, a management fee, a loan bank name, a tax amount, and the like in a column. In the figure, 3 item IDs are stored as records as an example, and when new loan repayment information is created, the records are added using the item IDs as keywords. For example, it is shown that the item having the item ID a00001 is lent by 800 ten thousand yen, 378 ten thousand yen is paid out, and the actual rent income is 333 ten thousand yen, and there are expenses of a management fee of 2 ten thousand yen per month, a tax of 8 ten thousand yen, and the like.
In step S202, the owner inputs the information of the actuary monthly. The information on the actuarial table includes, in addition to the general information on the objects such as the name of the building, the number of users, and the age of the building, the information on the rental book such as the rental entrance/exit, the contract update, the vacancy, and the general information on the entrant, the deposit information such as the rent and the deposit amount to be collected for each entrant, and the charge information (including the amount to be collected from the management company to the owner) such as the reparation work/management entrustment fee. In S204, the owner browses based on the analysis conditions based on the information of the property information storage unit 21, the owner information storage unit 22, the rental information storage unit 23, the loan repayment information storage unit 24, and the monthly actuarial table 25.
Fig. 7 shows an example in which a user as an analyst is an administrative company that accepts a request from an owner to manage an object associated with the owner. In S300, the management company stores information (property information) on the property of the real estate for investment, which is related to the owner who has received the request, in the property information storage unit 21. The property information is stored in a property information table as shown in fig. 9. In step S300, the management company stores information (owner information) about the owner who has received the request in the owner information storage unit 22. The owner information is stored in an owner information table as shown in fig. 10. In S300, the management company stores information (rental information) about the rental status of the item in the rental information storage unit 23. The rental information is stored in the rental information table shown in fig. 11. In S300, the management company stores information (loan repayment information) on the loan of the item in the loan repayment information storage unit 24. The loan repayment information is stored in a loan repayment information table as shown in fig. 12.
In S302, the management company inputs the deposit and withdrawal application information, rental contract information, deposit information, repair work/work return information, settlement information, urging information, claim information, and the like of the managed article to the rental information storage unit 23 on a daily basis, and updates the rental management information on a daily basis. In addition, the management company inputs the information of the actuary in S304 monthly. When there is a change in the information of the rental information storage unit 23 initially input in S300, the management company updates the information as appropriate. In this way, in the storage unit 20 of the real estate investment analysis support device 100, not only data input is initially performed by the owner or the management company of the object, but also information on daily management after the addition/update is performed, and information with very high reliability is accumulated. The real estate investment analysis support device 100 may be provided with an input screen on which the owner and the management company add and update the information, and may receive a file (for example, a CSV file) in which the information is input in a predetermined format and store the file in the storage unit 20. Based on the highly reliable information, the owner and the management company browse according to the analysis conditions in S306.
The output unit 14 first outputs the home screen shown in fig. 13(G) as an initial screen of the asset analysis function F80. When the home screen is output, as a premise, the user as the analyst is in a logged-in state, and the user ID of the analyst and the like are known in the real estate investment analysis support device 100. Therefore, the output unit 14 outputs given information on investment for an item (first item) related to the analyst as basic information on the home screen.
The item (first item) related to the analyst is a real estate item owned by the analyst in the case where the analyst is the owner of the real estate for investment, and is a real estate item managed by the analyst in the case where the analyst is the manager of the real estate for investment. The owner of the invested real estate includes both the owner on the transcript of the real estate register and the final owner who actually governs the owner. For example, when real estate describing ABC corporation and real estate describing XYZ corporation are available as owners on the transcript of the real estate register, a single person who runs two companies will also be the final owner of the two real estate. The owner of the analyst who uses the real estate investment analysis support device 100 may be the owner of the latter, or the former in the case where the analyst is described as the owner in the real estate register transcript on its own behalf. The administrator of real estate for investment refers to a person who receives a request for rental management or property management of real estate properties owned by the owner from the owner or the like and manages the properties on a daily basis.
The investment-related information is information related to the income obtained from real estate for investment purposes, and specifically includes income amount, expenditure amount, loan repayment amount, cash flow, rate of charge (expenditure proportion), rental rate (income/full total income), free period (days from the date of release to the next day of contract), collection rate, income rate (number of incomes/total number of households), rent m2Unit price, accounts receivable, rate of settlement (number of empty (month)/total number of households), etc. As described above, the data as the basis of the calculation may be input to the real estate investment analysis support device 100 by the owner or may be input to the real estate investment analysis support device 100 by the manager. The initial screen displays, for example, a bar chart showing the actual performance of the monthly cash flow of the last year in relation to all the items associated with the analyst, i.e., all the items owned by the owner if the owner, all the items managed by the manager if the manager, or the total cash flow of the year in numbers.
The input unit 13 waits for the analysis conditions from the analyst transmitted from the terminal 200 via the communication unit 30, and receives the analysis conditions when the analysis conditions are transmitted. The transmitted analysis conditions are composed of an analysis viewpoint of the analysis target. The analysis object is information related to the profit obtained from the unmotivation. The analysis point of view is a point of view from which an analysis object is analyzed, and examples thereof include an object-by-object, a management company, a location (region) by field, a size (total building area), a type (for one person, for use in a house, or for use in a house), a building age, a sales price, a debit amount, and a profit rate. In addition, the viewpoint of object-by-object analysis may include viewpoints such as the number of layers per object, the presence or absence of an elevator, and the presence or absence of a mechanical parking lot. Upon receiving such analysis conditions, the input unit 13 transmits the analysis conditions to the processing unit 11.
After the analysis conditions are transmitted from the input unit 13, the processing unit 11 processes information on investment in an item related to an analyst based on the analysis conditions received by the input unit 11 based on the information stored in the item information storage unit 21, the owner information storage unit 22, the rental information storage unit 23, and the loan repayment information storage unit 24. The processing flow of the real estate investment analysis support system 1 and the processing flow of the processing unit 11 in the real estate investment analysis support device 100 will be described with reference to fig. 5. In addition, the analysts in the figure are owners of the investment real estate.
In S100, the mobile terminal 200 of the analyst requests the display of the user ID and the asset Navi of the analyst when the asset analysis function F80 is called. In S150, the processing unit 11 outputs an initial screen of the asset Navi upon receiving the request via the network 300, the communication unit 30, and the input unit 13. In S102, the mobile terminal 200 of the analyst displays the initial screen on the display when it receives the initial screen via the output unit 14, the communication unit 30, and the network 300.
The analyst specifies the conditions that the analyst wants to analyze from the initial screen displayed. For example, the analyst specifies the analysis conditions such that the analysis target is a cash flow and the analysis viewpoint is an item. In S104, the mobile terminal 200 of the analyst transmits the designated analysis conditions to the real estate investment analysis assisting device 100 via the network 300. In S152, the processing unit 11 extracts an object owned by the analyst who is the owner from the owner information storage unit 22. For example, when the analyst is the owner information B00001, the analyst owns two items a00001 and a00090, and in this example, the processing unit 11 extracts the items a00001 and a00090 owned by the analyst.
In S154, the processing unit 11 processes the investment-related information corresponding to the analysis conditions among the items owned by the analysts extracted from the item information storage unit 21. For example, when the analyst sets the analysis viewpoint as per item and the analysis object as the cash flow, the processing unit 11 performs processing for calculating the cash flows relating to two items a00001 and a 00090. For example, when the analyst sets the analysis viewpoint to the management company and the analysis target to the average idle period, the processing unit 11 performs the processing of calculating the average idle period for the object managed by o real estate (the object a00001 in this example) and the object managed by o Δ real estate (the object a00090 in this example). In this example, although there is one object, when one management company manages a plurality of objects, the idle period is calculated by averaging the objects.
The processing unit 11 may perform a process of visualizing the processed information on the investment in S156 and output the information. For example, in the case where the analysis condition is a cash flow by item, the numbers of the cash flow may be output by items a00001 and a00090, or a chart in which two items are arranged together may be created and output. In addition, in the case where the analysis condition is the average idle period by the management company, graphs in which the average idle periods are arranged together may be created and output by o real estate management company and o real estate management company.
The information on the investment that is visually output is transmitted to the mobile terminal 200 of the analyst via the output unit 14, the communication unit 30, and the network 300. In S106, the mobile terminal 200 receives the transmitted information on the investment and displays it on the display. The analyst views the displayed information on the investment and performs research on the investment performance of the analyst. As shown in fig. 14 to 21, the analyst can analyze various information about the investment through various analysis viewpoints.
For example, fig. 14 to 17 show information (cash flow, income payout, loan information, operation status) relating to investment by management company. Fig. 14 shows an outline of each management company. The total cash flow as the main analysis target is displayed to be maximum. The cash flow is, for example, an amount obtained by subtracting an expenditure such as an administrative fee or a tax and a loan repayment amount from an income such as a rental income. According to this example, the lowest management company generates the most cash flow.
Fig. 15 is a screen showing more detailed information for the uppermost management company in fig. 14. The screen displays in detail, in addition to the total cash flow, the monthly cash flow of the past year, the total of income and expenditure which become details thereof, the rental payment rate, the check-in rate, the collection rate, the average free period, the loan information, the details of the operation status, the check-in information, and the like. Fig. 16 is a screen showing details of the income and expense related to the management company. The screen displays the total income and the total expense, and also displays the income and the expense of each month in the past year, the detail thereof, and the like. Fig. 17 is a screen showing details of loan information and operation status relating to the management company. On this screen, the loan information includes the repayment amount, remaining debts, and loan, and the operation status includes the current income amount, the income amount when the room is assumed to be full, and the like.
Fig. 18 to 21 show information on investment (cash flow, income/expense, loan information, and operation status) for each item. Fig. 18 shows an outline of each item. The total cash flow as the main analysis target is displayed to be maximum. According to this example, the uppermost item generates the most cash flow. Fig. 19 is a screen showing more detailed information for the top object in fig. 18. The screen displays in detail, in addition to the total cash flow, the monthly cash flow of the past year, the total of income and expenditure which become details thereof, the rental payment rate, the check-in rate, the collection rate, the average free period, the loan information, the details of the operation status, the check-in information, and the like. Fig. 20 is a screen showing details of the income and expense associated with the item. The screen displays the total income and the total expense, and also displays the income and the expense of each month in the past year, the detail thereof, and the like. Fig. 21 is a screen showing details of loan information and operation status related to the subject. On this screen, the loan information includes the repayment amount, remaining debts, and loan, and the operation status includes the current income amount, the income amount when the room is assumed to be full, and the like.
For example, if the cash flow is analyzed for each item and there is an item with poor cash flow, it is known that there are many items with poor cash flow in a specific management company if the cash flow is analyzed for each management company. In addition, when the average vacancy period is analyzed for each management company, if the average vacancy period is longer than that of other management companies, it is known that the average vacancy period after the lease for the tenant is longer or the number of times of lease is larger in the items under the management of the management company. In this way, the analyst can study countermeasures for improving cash flow. In this way, the real estate investment analysis support device 100 can support analysis of the operation performance of the invested real estate from various viewpoints by providing information on the investment for the object related to the analyst based on various analysis conditions of the analyst.
The above is also a method of assisting analysts in the analysis of real estate investments. That is, the method of assisting the investment analysis is a method including the steps of: storing information relating to the items of real estate for investment; storing information relating to an owner of the item; storing information relating to a rental status of the item; storing information relating to the borrowing of the item; receiving an input of an analysis condition from an analyst; processing information on investment for an item associated with an analyst according to the accepted analysis conditions based on the stored information on the item, information on the owner, information on the rental status, and information on the loan; and outputting the processed information relating to the investment. Thus, it is possible to provide a real estate investment analysis support method that supports analysis of operation performance of investing real estate from various viewpoints by providing information on investments for objects related to analysts based on various analysis conditions.
The present invention can also be provided as a program for causing a computer to execute the above method. The program is a real estate investment analysis assistance program for causing a computer to execute a real estate investment analysis assistance method including: storing information relating to the items of real estate for investment; storing information relating to an owner of the item; storing information relating to a rental status of the item; storing information relating to the borrowing of the item; receiving an input of an analysis condition from an analyst; processing information on investment for an item associated with an analyst according to the accepted analysis conditions based on the stored information on the item, information on the owner, information on the rental status, and information on the loan; and outputting the processed information relating to the investment. Thus, it is possible to provide a real estate investment analysis support program that supports analysis of operation performance of investing real estate from various viewpoints by providing information on investments for objects related to analysts based on various analysis conditions.
Further, the processing unit 11 may process information on investment in an item (second item) that is not related to the analyst based on the analysis condition received by the input unit 13, and the output unit 14 may output information on investment in an item (first item) that is related to the analyst and information on investment in an item that is not related to the analyst in a correlated manner. The item not related to the analyst is an item not owned by the analyst if the analyst is the owner, and is an item not managed by the management company if the analyst is the management company.
For example, in the vicinity of the lower graph of fig. 22, a graph and numerals of the rental payment rate, check-in rate, payment rate, and average free period of the room in the apartment are displayed. In addition, the rental rates, check-in rates, collection rates, and average free periods of items related to the analysts are indicated by large numbers as 91.69%, 89.29%, 96.06%, and 48.6 days, respectively. In addition, the rental payment rate, the check-in rate, the collection rate, and the average free period of the items not related to the analyst are indicated by small numbers of 95.2, 93.5, 98.2, and 26.4 days, respectively. In this way, the output unit 14 displays information on investment for an item related to the analyst and information on investment for an item not related to the analyst in the vicinity in association with each other, thereby outputting the information in an associated manner. The method of establishing the related output is not limited to this, and the two may be displayed in a graph, for example. In this way, the real estate investment analysis support device 100 can provide information on investments for items related to analysts and items not related to analysts in a correlated manner, and can compare the information with investment performance on real estate not related to analysts, thereby supporting the obtainment of advice on investment in the future.
The real estate investment analysis support device 100 may further include a profitability determination unit 12 for determining profitability of the object. The profitability of the item refers to cash flow, income amount, expenditure amount, rent m in the information on the investment2Unit price and the like can be expressed as an index of money amount. The profitability determination section 12 determines the profitability of the item associated with the analyst based on information on investments for the item associated with the analyst and the items not associated with the analyst. For example, the profitability determination unit 12 compares the average cash flow of the item in a specific area of the item associated with the analyst with the average cash flow of the item in the same area of the item not associated with the analyst to determine whether the cash flow of the item associated with the analyst is good or bad, and determines how bad the cash flow is (e.g., bad 5% or the like) when the cash flow is bad. The output unit 14 outputs the profit determined by the profitability determination unit 12Sex related information, such as average cash flow failure of 5%. In this way, the real estate investment analysis support device 100 can provide an index for determining profitability of an item related to an analyst based on information on investments for the item related to the analyst and the items not related to the analyst, thereby enabling more direct support regarding investment in the future.
The profitability determination unit 12 may determine the profitability of the item related to the analyst after the current building age based on the profitability of the item related to the analyst after the current building age and the profitability of the item not related to the analyst after the current building age. Fig. 8 is a graph conceptually illustrating a change in profitability (e.g., cash flow) based on building age. The dots in the graph represent the passage of cash flow after a building age that combines items associated with the analysts with items not associated with the analysts. Since the information on profitability in the daily management is accumulated in the storage unit 20 of the real estate investment analysis support device 100, such profitability transition data is highly reliable data. In addition, the line in the figure is a regression curve of these points. Such regression curves may also be generated by region or characteristic of the object.
For example, when the construction year is 2015 for 4 months, and 2019 for 2 months, the current construction age of the object with the object ID a00001 is about 4 years. The past and present cash flow of the object with the object ID of a00001 can be understood as the actual performance value, but it can be said that how the cash flow will progress in the future is unclear. However, in the same region (the tokyo kyo thousand-generation field), an object whose construction year is 2010 and 3 months whose object ID is a00002 exists among objects not related to the analyst, and a cash flow of the object exists in the storage unit 20 as actual results from the 5 th year and later to the 9 th year. Future cash flows can be predicted by applying performance values from year 5 onwards to year 9 of items not associated with the analyst to items associated with the analyst. Since a large number of similar actual performance values actually exist, the increase/decrease rate of the regression curve with high reliability can be used for prediction. Thus, the real estate investment analysis support device 100 can determine the profitability of the item related to the analyst after the current building age based on the profitability of the item related to the analyst after the current building age.
The present invention is not limited to the illustrated embodiments, and can be implemented by a configuration within a range not departing from the contents described in the claims. That is, although the present invention has been particularly shown and described with respect to specific embodiments, various modifications can be made in the number and other detailed configurations of the above-described embodiments by those skilled in the art without departing from the scope of the technical spirit and the object of the present invention.
Claims (6)
1. A real estate investment analysis support device for supporting an analyst in analyzing the investment in real estate, the real estate investment analysis support device comprising:
an object information storage unit for storing information on an object of real estate for investment;
an owner information storage unit that stores information relating to an owner of the object;
a rental information storage unit that stores information relating to a rental status of the item;
a loan repayment information storage unit that stores information relating to the loan of the object;
an input unit that receives an input of analysis conditions from the analyst;
a processing unit that processes information on investment for a first item, which is an item related to the analyst, based on the information stored in the item information storage unit, the owner information storage unit, the rental information storage unit, and the loan repayment information storage unit, according to the analysis condition accepted by the input unit; and
and an output unit that outputs the information on the investment processed by the processing unit.
2. The real estate investment analysis assistance apparatus of claim 1,
the processing unit processes information on investment in a second object that is an object that is not related to the analyst, based on the analysis conditions received by the input unit,
the output unit outputs information on the investment in the first object and information on the investment in the second object in association with each other.
3. The real estate investment analysis assistance apparatus of claim 2,
the real estate investment analysis support device further includes a profitability determination unit that determines profitability of the object,
the profitability determination section determines the profitability of the first object based on information on the investment for the first object and information on the investment for the second object,
the output unit outputs information on profitability determined by the profitability determination unit.
4. The real estate investment analysis assistance apparatus of claim 3,
the profitability determination unit determines profitability of the first object after the current building age based on profitability of the second object after the current building age of the first object.
5. An auxiliary method for real estate investment analysis, which is a method for assisting an analyst in analyzing the investment of real estate, wherein the auxiliary method for real estate investment analysis comprises the following steps:
storing information relating to the items of real estate for investment;
storing information relating to an owner of the item;
storing information relating to a rental status of the item;
storing information relating to the borrowing of the item;
receiving input of analysis conditions from the analyst;
processing information on investment for an item associated with the analyst according to the accepted analysis conditions based on the stored information on the item, information on the owner, information on the rental status, and information on the loan; and
outputting the processed information related to the investment.
6. A recording medium storing a real estate investment analysis assistance program that is a program for causing a computer to execute a method of assisting an analyst in investment analysis of real estate, wherein the real estate investment analysis assistance program causes the computer to execute the following real estate investment analysis assistance method:
storing information relating to the items of real estate for investment;
storing information relating to an owner of the item;
storing information relating to a rental status of the item;
storing information relating to the borrowing of the item;
receiving input of analysis conditions from the analyst;
processing information on investment for an item associated with the analyst according to the accepted analysis conditions based on the stored information on the item, information on the owner, information on the rental status, and information on the loan; and
outputting the processed information related to the investment.
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| JP2019019554A JP2020126522A (en) | 2019-02-06 | 2019-02-06 | Real estate investment analysis support device, real estate investment analysis support method, and real estate investment analysis support program |
| JP2019-019554 | 2019-02-06 |
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| CN113807932A (en) * | 2021-11-19 | 2021-12-17 | 智控天下(北京)商业管理有限公司 | Asset management system and method |
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| JP2002024527A (en) * | 2000-07-03 | 2002-01-25 | Recruit Co Ltd | System for analyzing real estate investment and recording medium |
| JP2009129129A (en) * | 2007-11-22 | 2009-06-11 | Mitsumasa Baba | Real estate transaction support system |
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