scholarly journals Simple Model for Market Returns Distribution

2013 ◽  
Vol 23 (2) ◽  
pp. 185 ◽  
Author(s):  
Chu Thuy Anh ◽  
Do Hong Lien ◽  
Nguyen Ai Viet

It has been observed that at the large time scales the distributionof stock market returns is convergent from Boltzmann distribution to Gaussianasymptotic one. To explain this universal phenomenon, we propose a new andsimple dynamic model to describe this convergence by the time parameter inassociation with the introducing the concept of relaxation time for nancialmarkets. The analysis of stock market data packages in dierent time intervalsshowed that our model ts well the nancial market data. The meaning ofso{called relaxation time has been qualitatively made clear, as a measure toestimate the stability of the market.

2013 ◽  
Vol 103 (3) ◽  
pp. 623-628 ◽  
Author(s):  
Pedro Bordalo ◽  
Nicola Gennaioli ◽  
Andrei Shleifer

We present a simple model of asset pricing in which payoff salience drives investors' demand for risky assets. The key implication is that extreme payoffs receive disproportionate weight in the market valuation of assets. The model accounts for several puzzles in finance in an intuitive way, including preference for assets with a chance of very high payoffs, an aggregate equity premium, and countercyclical variation in stock market returns.


GIS Business ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. 1-9
Author(s):  
Dhananjaya Kadanda ◽  
Krishna Raj

The present article attempts to understand the relationship between foreign portfolio investment (FPI), domestic institutional investors (DIIs), and stock market returns in India using high frequency data. The study analyses the trading strategies of FPIs, DIIs and its impact on the stock market return. We found that the trading strategies of FIIs and DIIs differ in Indian stock market. While FIIs follow positive feedback trading strategy, DIIs pursue the strategy of negative feedback trading which was more pronounced during the crisis. Further, there is negative relationship between FPI flows and DII flows. The results indicate the importance of developing strong domestic institutional investors to counteract the destabilising nature FIIs, particularly during turbulent times.


2011 ◽  
Author(s):  
Raymond Siu Yeung Chan ◽  
See Tin Tang ◽  
Roy F. Ying ◽  
Sun Wing Tam

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