Poly Real Estate Value Evaluation Research

2014 ◽  
Vol 687-691 ◽  
pp. 5075-5079
Author(s):  
Xing Wei ◽  
Xian Mei
Keyword(s):  
Real Estate ◽  
Cash Flow ◽  
Evaluation Research ◽  
Ratio Method ◽  
Actual Situation ◽  
Factors Affecting ◽  
Flow Method ◽  
Discount Cash Flow ◽  
Valuation Method ◽  
Actual Price

This paper made valuation research on poly real estate by combining the actual situation of poly real estate and special factors affecting real estate industry assessment, using relative valuation method p/e ratio method and price-to-book ratio method, and discount cash flow method in absolute valuation method respectively. Three methods valuation results have little difference from the actual price, and are in line with the actual situation. By contrast, two methods valuation results are slightly lower than the actual price, which means that poly still has a certain rise space. From overall analysis, discount cash flow method is more rational comparing with valuation method.

Social Network Valuation Using the Discounting Cash Flow Method

2021 ◽  
Author(s):  
O. A. Malafeyev ◽  
K. V. Yupatova ◽  
I. V. Zaitseva ◽  
A. V. Shuvaev ◽  
A. F. Dolgopolova ◽  
...  
Keyword(s):  
Social Network ◽  
Cash Flow ◽  
Flow Method

Ticket Income Distribution of Urban Rail Transit in Network Operating Condition

2011 ◽  
Vol 243-249 ◽  
pp. 4375-4380
Author(s):  
Yuan Chun Huang ◽  
Jian Li ◽  
Haize Pan
Keyword(s):  
Income Distribution ◽  
Urban Rail Transit ◽  
Ratio Method ◽  
Rail Transit ◽  
Matching Algorithm ◽  
Factors Affecting ◽  
Urban Rail ◽  
Set Up ◽  
Urban Rail Transit Network ◽  
Factor Matching

Through analyzing the factors affecting passengers’ path-choice, the corresponding principles and rules of the ticket income distribution are put forward and the new model of the Urban Rail Transit Network in Beijing is set up in the paper. Through the deformation of the urban rail transit and the simplification of the lines, the topology of the urban rail transit lines is abstracted into an undirected connection graph. Breadth-priority optimization algorithm is applied to search the effective paths between the OD and the flow-matching ratio is acquired by calculating based on multi-factor matching algorithm, in which many relevant numerical examples are analyzed to verify the feasibility of the dual-ratio method and to summarize the characteristics of the project.

International Real Estate Review

2016 ◽  
Vol 19 (3) ◽  
pp. 265-296
Author(s):  
Richard D. Evans ◽  
◽  
Glenn R. Mueller ◽  
Keyword(s):  
Markov Chain ◽  
Real Estate ◽  
Cash Flow ◽  
Discounted Cash Flow ◽  
First Order ◽  
Order Markov Chain ◽  
Office Markets ◽  
Speed Up ◽  
Staying Time ◽  
Over Time

Metro market real estate cycles for office, industrial, retail, apartment, and hotel properties may be specified as first order Markov chains, which allow analysts to use a well-developed application, ¡§staying time¡¨. Anticipations for time spent at each cycle point are consistent with the perception of analysts that these cycle changes speed up, slow down, and pause over time. We find that these five different property types in U.S. markets appear to have different first order Markov chain specifications, with different staying time characteristics. Each of the five property types have their longest mean staying time at the troughs of recessions. Moreover, industrial and office markets have much longer mean staying times in very poor trough conditions. Most of the shortest mean staying times are in hyper supply and recession phases, with the range across property types being narrow in these cycle points. Analysts and investors should be able to use this research to better estimate future occupancy and rent estimates in their discounted cash flow (DCF) models.

scholarly journals Factors Affecting the Performance of Kuwait Stock Market

2016 ◽  
Vol 9 (5) ◽  
pp. 23
Author(s):  
Ebrahim Merza ◽  
Sayed-Abbas Almusawi
Keyword(s):  
Interest Rate ◽  
Real Estate ◽  
Stock Market ◽  
Banking Sector ◽  
Stock Exchange ◽  
Consumer Price Index ◽  
Gold Price ◽  
Oil Price ◽  
Factors Affecting ◽  
Insurance Sector

<p>This paper aims at finding the effective factors that influence three sectors in Kuwait stock exchange market (KSE) in addition to the whole stock market. The three sectors are banking, real estate and insurance sectors. The paper measures KSE performance through the average share prices calculated on a quarterly basis starting from 2005 until first quarter of 2015. It is found that each sector behaves differently towards macroeconomic variables. The most important determinants for the KSE overall market performance were found to be gold price and the deposits rate. Individually, the banking sector is influenced by consumer price index, interest rate on loans, oil price and gold price. The insurance sector is influenced by money supply, residential real estate price and oil price. The real estate sector is influenced by the exchange rate with respect to US dollars, interest rate on loans, oil price and gold price.</p>

Sign in / Sign up

Export Citation Format

Share Document