Noise Trading, Slow Diffusion of Information, and Short-Term Reversals: A Fundamental Analysis Approach

2017 ◽  
Author(s):  
Zhaobo mname Zhu ◽  
Licheng mname Sun ◽  
Min mname Chen
Keyword(s):  
Analysis Approach ◽  
Fundamental Analysis ◽  
Short Term ◽  
Noise Trading ◽  
Diffusion Of Information ◽  
Slow Diffusion

scholarly journals Menu Pricing and Learning

2011 ◽  
Vol 3 (3) ◽  
pp. 124-163 ◽  
Author(s):  
Alessandro Bonatti
Keyword(s):  
Information Production ◽  
Gains From Trade ◽  
Short Term ◽  
Experience Goods ◽  
Trade Off ◽  
Amount Of Information ◽  
Diffusion Of Information

We analyze the design of dynamic menus to sell experience goods. The quality of the product is initially unknown, and the total quantity sold in each period determines the amount of information in the market. We characterize the optimum menu as a function of consumers' beliefs, and the dynamic adjustments resulting from the diffusion of information. The firm faces a dynamic trade-off between gains from trade, information production, and information rents. It initially charges lower prices, sacrificing short-term revenue to increase sales. As more information is revealed, prices increase, and low-valuation buyers are excluded, even when the product's quality is high. (JEL D42, D82, D83, L12)

scholarly journals Comparison of Technical and Fundamental Analysis Trading Disciplines on Portfoilo Performance: Short and Long Term Backtest Analysis on Borsa İstanbul National Stock Indices

2021 ◽  
Vol 3 (3) ◽  
pp. 128-143
Author(s):  
Mustafa ÖZYEŞİL
Keyword(s):  
Abnormal Returns ◽  
Fundamental Analysis ◽  
Short Term ◽  
Risk And Return ◽  
Stock Indices ◽  
Technical And Fundamental Analysis ◽  
Increased Risk ◽  
Short And Long Term

The aim of this study is to comparatively analyze the backtest performances of trading disciplines applied in various portfolio baskets (Bist 30, 50 and 100) for different investment periods (short term – ytd and long term). According to the results of the analysis, it has been determined that in all trading disciplines, the investor has a higher return than the benchmark indicator in a 5-year term, that is, they can earn abnormal returns. Also, the return in the 5-year term is much higher than the 1-year and YTD returns. In the P / E & MA model, the Bist - 50 index in the 5-year period and the Bist - 100 index in the 1-year period provide the maximum return, while according to the P / E model, the Bist-30 and Bist -50 indices provide optimum returns in all maturity options. Based on these findings, it can be expected that if the trading disciplines used in this study are applied in a long term such as 5 years and on the portfolio basket consisting of Bist-30 and Bist-50 industrial stocks, it will maximize returns. In terms of risk and return, in YTD period, the sharpe and treynor ratios of the model portfolio formed in all trading disciplines except M /B trading discipline were lower than in 1 year in the 5-year investment period. This situation arose due to the increased risk of the portfolio as a result of the extended maturity and is in line with our expectations.

A Fundamental Analysis Approach to Oil and Gas Firm Valuation

2000 ◽  
Vol 27 (7‐8) ◽  
pp. 785-820 ◽  
Author(s):  
Jeffrey J. Quirin ◽  
Kevin T. Berry ◽  
David O’Brien
Keyword(s):  
Oil And Gas ◽  
Firm Valuation ◽  
Analysis Approach ◽  
Fundamental Analysis

scholarly journals Stock Selection Based on Fundamental Analysis Approach by Grey Relational Analysis: A Case of Turkey

2016 ◽  
Vol 8 (7) ◽  
pp. 178 ◽  
Author(s):  
Mehmet Fatih Bayramoglu ◽  
Coskun Hamzacebi
Keyword(s):  
Grey Relational Analysis ◽  
Grey System Theory ◽  
Analysis Approach ◽  
Common Stock ◽  
Fundamental Analysis ◽  
Financial Assets ◽  
Grey System ◽  
Stock Selection ◽  
Relational Analysis ◽  
Grey Relational

Determining financial assets for investment is a significant problem for investors. Especially, since it is riskier in comparison with other financial assets, selecting common stock is not only important for investors but also, it is a complicated decision-making process, because, although they agree to accept a risk, common stock investors tend to keep the risk they undertake at a given level. With this purpose, investors prefer to conduct various analysis and predictions to decide which common stocks they will invest. In this study, by using micro and macro variables, which have been determined with a fundamental analysis approach, a common stock selection is conducted for nine different corporations doing activities in ten lines of business in Borsa Istanbul. In the study, Grey Relational Analysis (GRA), which is developed in the framework of Grey System Theory, is used as a mathematical model. Therefore, a conclusion is obtained about which parameters are more important in selecting a common stock, and the efficiency of GRA Method is tested.

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