Loading...
Search for:
price-to-earnings-ratio
0.005 seconds
Forecasting P/E Ratio Using Neural Networks
, M.Sc. Thesis Sharif University of Technology ; ahramgiri, Mohsen (Supervisor)
Abstract
This thesis firstly studies the parameters affecting P/E ratio. These parameters vary from Macroeconomics level, Economic growth and Inflation, to company level. Then this study deploys Neural Networks to predict magnitude of P/E and change direction of P/E ratio. To increase accuracy, thesis uses three different method of normalizing for Input data. Finally, results are compared to results of regression method
Forecasting P/E Ratio by Decomposing into Constituent Factros
, M.Sc. Thesis Sharif University of Technology ; Zamani, Shiva (Supervisor) ; Abdoh Tabrizi, Hossein (Supervisor)
Abstract
P/E ratio is studied in four levels in this study:
1)Macroeconomics level
2)Capital market level
3)Industry level
4)Company level
The first level studies effects of macroeconomics variables on P/E ratio. At this level we use variables such as economic growth, inflation, exchange rate, and etc.The next level uses capital market variables such as market volume, and IPO information.The third level that we study in this research is industry level. Stocks of an industry generally behave similar, because they have common advantages and disadvantages, thus industry is an effective factor on P/E ratio.The last level studies financial statements and internal features of a...
1)Macroeconomics level
2)Capital market level
3)Industry level
4)Company level
The first level studies effects of macroeconomics variables on P/E ratio. At this level we use variables such as economic growth, inflation, exchange rate, and etc.The next level uses capital market variables such as market volume, and IPO information.The third level that we study in this research is industry level. Stocks of an industry generally behave similar, because they have common advantages and disadvantages, thus industry is an effective factor on P/E ratio.The last level studies financial statements and internal features of a...
The Effect of Investors' Sentiment on Price to Earning Ratio of the Tehran Stock Exchange
, M.Sc. Thesis Sharif University of Technology ; Barakchian, Mahdi (Supervisor)
Abstract
Price to earnings ratio is one of the most used ratios in financial markets for valuation of firms in the Iran and world. In present research for analysis of this ratio,investors’ sentiment alongside fundamental factors affecting price to earnings ratio has been investigated. Fundamental factors affecting this ratio are selected based on prior research and economics theory; these factors are, dividend ratio, growth,risk and inflation. For the analysis of investors’ sentiment, eight proxies related to sentimental behavior have been utilized; among them, four are introduced and used for the first time in this research. Implementing these eight sentimental proxies, a variable measuring...