scholarly journals Research on Investment Preference and the MAX Effect in Chinese Stock Market

2016 ◽  
Vol 4 (6) ◽  
pp. 519-533
Author(s):  
Xiaoju Gou ◽  
Limei Bie
Keyword(s):  
Stock Market ◽  
Turnover Rate ◽  
Negative Relationship ◽  
Portfolio Analysis ◽  
Idiosyncratic Volatility ◽  
Chinese Stock Market ◽  
Expected Return ◽  
Cross Sectional ◽  
Significant Negative Relationship ◽  
Volatility Puzzle

AbstractInvestors prefer to invest the stocks with high history returns, which results in that the return of the stock with high history maximum return is often lower than that with low history maximum return, i.e., the MAX effect. We show that the MAX effect is also significant in China stock market, that is, there is a significant negative relationship between maximum return and expected return. We then conduct portfolio analysis and Fama-Macbeth cross-sectional regression and find that range of price and turnover rate can explain the MAX effect in a certain extent, idiosyncratic volatility and idiosyncratic skewness cannot explain the negative relationship between maximum return and expected return. Moreover, maximum return explains the idiosyncratic volatility puzzle partially.

scholarly journals Research on the Relationship between Trade Volatility, Property Rights and New Energy Stock Returns under the Background of New Energy Industry Development

2021 ◽  
Vol 292 ◽  
pp. 02017
Author(s):  
Qiyuan Peng
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Automobile Industry ◽  
Significant Negative Correlation ◽  
Idiosyncratic Volatility ◽  
Chinese Stock Market ◽  
Cross Sectional ◽  
New Energy ◽  
Trade Volatility ◽  
The Relationship

The research on the relationship between risk and return of new energy stocks is the focus of financial research. Related research focuses more on the relationship between idiosyncratic fluctuation risk and stock returns. In the Chinese stock market, some Chinese investors clearly prefer stocks with high risk characteristics, which leads to overvalued stocks. However, the short-selling restrictions in the Chinese stock market and the heterogeneity of investors have also led to a significant negative correlation between idiosyncratic volatility and cross-sectional yield. There are many studies on the relationship between idiosyncratic volatility and stock returns, but no consistent conclusions have been drawn, and there is a lack of relevant research on new energy stocks. Therefore. This paper collates the data of 70 listed companies in the new energy and new energy automobile industry from 2017 to 2019, tracks the stock returns of sample companies for 3 years (36 months), and conducts in-depth research on the relationship between idiosyncratic fluctuation risks and new energy stock returns. To further verify and supplement the risk-return relationship of China's new energy stock market and provide a certain basis for the company's decision-making behaviour.

A Computation Methods for Analysis on the Effect of Stock Market and its Application

2014 ◽  
Vol 1078 ◽  
pp. 444-447
Author(s):  
Zhan Xin Ma ◽  
En Yang Zhao ◽  
Xi Ming Lv ◽  
Zhi Min Ma
Keyword(s):  
Stock Market ◽  
Capital Market ◽  
Turnover Rate ◽  
Market Value ◽  
Chinese Economy ◽  
Data Envelopment ◽  
Chinese Stock Market ◽  
Return On Assets ◽  
Generalized Data Envelopment Analysis ◽  
New Policies

As a barometer of the macroeconomic of a country and an important part of the capital market, stock market has attracted increasing and highlighted attention. As is well-known, Chinese stock market is known as 'policy market', however, the issue about whether the stock market is really influenced by these policies is always an important and hot topic. In this paper, by using generalized data envelopment analysis, an analysis on the effect of the new policies carried out in May 2012 is provided based on closing price, Tobin Q, circulation market value, turnover rate, and return on assets. Based on the above results, it can show the effect of stock market policies on Chinese Economy.

scholarly journals ANALISIS PORTOFOLIO SEBAGAI DASAR PENGAMBILAN KEPUTUSAN INVESTASI SAHAM YANG TERDAFTAR DI BEI

IQTISHODUNA ◽  
2013 ◽  
Author(s):  
Sri Yati
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Analytical Method ◽  
Stock Exchange ◽  
Investment Decisions ◽  
Portfolio Analysis ◽  
Rate Of Return ◽  
Expected Returns ◽  
Risk Level ◽  
Expected Return

This study aims to analyze rate of return and risk as the tools to form the portfolio analysis on 15 the most actives stocks listed in Indonesian Stock Exchange. Descriptive analytical method is used to describe the correlation between three variables: stock returns, expected returns of stock market, and beta in order to measure the risk of stocks to help the investors in making the investment decisions. The research materials are 15 the most actives stocks listed in Indonesian Stock Exchange during 2008-2009. The results show that PT. Astra International Tbk. has the highest average expected return of individual stock (Ri) of 308,3355685, while PT. Perusahaan Gas Negara Tbk. has the lowest of -477,0827847. The average expected return of stock market (Rm) is 0,00247163. PT. Astra International Tbk. has the highest systematic risk level of 20229,14205, while the lowest of -147,5793279 is PT. Kalbe Farma Tbk. Furthermore, the results also indicate that there are 9 stocks can be combined to form optimal portfolio because they have positive expected returns.

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