The ex-dividend day stock price behavior in the Chinese stock market

2006 ◽  
Vol 14 (2) ◽  
pp. 155-174 ◽  
Author(s):  
Nikolaos T. Milonas ◽  
Nickolaos G. Travlos ◽  
Jason Zezhong Xiao ◽  
Cunkai Tan
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Chinese Stock Market ◽  
Price Behavior

The Ex-Dividend Day Stock Price Behavior in the Chinese Stock Market

2002 ◽  
Author(s):  
Nikolaos T. Milonas ◽  
Nickolaos G. Travlos ◽  
Zezhong Xiao ◽  
Cunkai Tan
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Chinese Stock Market ◽  
Price Behavior

Value and Growth Stock Price Behavior during Stock Market Declines

2017 ◽  
Vol 26 (4) ◽  
pp. 41-52 ◽  
Author(s):  
Daniel Folkinshteyn ◽  
Gulser Meric ◽  
Ilhan Meric
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Price Behavior

scholarly journals Volatility Degree Forecasting of Stock Market by Stochastic Time Strength Neural Network

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Haiyan Mo ◽  
Jun Wang
Keyword(s):  
Neural Network ◽  
Stock Market ◽  
Stock Price ◽  
Strength Function ◽  
Global Market ◽  
Chinese Stock Market ◽  
Backpropagation Neural Network ◽  
Time Strength ◽  
Market Indexes ◽  
Stochastic Time

In view of the applications of artificial neural networks in economic and financial forecasting, a stochastic time strength function is introduced in the backpropagation neural network model to predict the fluctuations of stock price changes. In this model, stochastic time strength function gives a weight for each historical datum and makes the model have the effect of random movement, and then we investigate and forecast the behavior of volatility degrees of returns for the Chinese stock market indexes and some global market indexes. The empirical research is performed in testing the prediction effect of SSE, SZSE, HSI, DJIA, IXIC, and S&P 500 with different selected volatility degrees in the established model.

WHEN THE BUBBLE IS GOING TO BURST …

1999 ◽  
Vol 02 (03) ◽  
pp. 285-292 ◽  
Author(s):  
JING CHEN
Keyword(s):  
Hong Kong ◽  
Stock Market ◽  
Stock Price ◽  
Price Change ◽  
Convertible Bond ◽  
Price Behavior ◽  
Clear Signal ◽  
Security Markets ◽  
Relationship Of ◽  
The Relationship

There has been constant debate about the predictability of the security markets. We examine the relationship between the prices of a stock and its convertible bond during the Hong Kong stock market bubble of 1997 and its subsequent crash. We find that the price behavior of the share and the convertible bond not only gave a clear signal of the market reversal, but also the minimum range of the stock price change. This example offers concrete evidence that the market becomes highly predictable at times and gives us a chance to understand the relationship of the underlying stock and its derivatives during market bubbles.

scholarly journals Investor Sentiment and Stock Price Crash Risk in the Chinese Stock Market

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Binghui Wu ◽  
Yuanman Cai ◽  
Mengjiao Zhang
Keyword(s):  
Comparative Analysis ◽  
Stock Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Crash Risk ◽  
Research Approach ◽  
Chinese Stock Market ◽  
The Impact ◽  
A Share

This paper uses the partial least squares method to construct the investor sentiment index in Chinese stock market. The Shanghai Stock Exchange 180 Index and the Shenzhen Stock Exchange 100 Index are used as samples. From the perspectives of holistic sentiment and heterogeneous sentiment, this paper studies the impact of investor sentiment on stock price crash risk. The results show that investor sentiment can significantly affect stock price crash risk in Shanghai and Shenzhen A-share markets, especially in the Shenzhen A-share market no matter from which perspective. And investor pessimism has a greater impact on stock price crash risk in the Shenzhen A-share market from the perspective of heterogeneous sentiment. Compared with the available researches, this paper makes two contributions: (i) the comparative analysis is adopted to discuss the differences between Shanghai and Shenzhen A-share markets, abandoning the research approach that takes the two markets as a whole in existing literature, and (ii) this paper not only studies the impact of investor holistic sentiment on stock price crash risk from a macro perspective, but also adds a more micro heterogeneous sentiment and conducts a comparative analysis.

scholarly journals Does Macroeconomic Indicators Influence Stock Price Behavior? Evidence from Nigerian Stock Market

2019 ◽  
Vol 6 (2) ◽  
pp. 26
Author(s):  
Peter Ego Ayunku
Keyword(s):  
Stock Market ◽  
Significant Influence ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Price Behavior ◽  
Market Growth ◽  
Integration Test

This paper investigate whether macroeconomics indicators influences stock price behavior in Nigerian stock market, using an annual time series data spanning from 1985-2015. The study employed some econometric tools such as Augmented Dicker Fuller (ADF) Unit Root test, Johansen’s co integration test, Vector Error Correction Model (VECM) to analyze the variables of interest. The study found out that Money Supply (MS) has an inverse but statistically significant  influence on stock prices in Nigerian stock market also Treasury Bill Rate (TBR) has an inverse and statistically insignificant influence on stock market prices. While on the other hand, Market Capitalization (MCAP) has a positive and statistically significant influence on stock prices while Exchange Rate (EXR) has positive but statistically insignificant relationship with stock prices in the Nigerian Stock Market. In view of the above, the study recommends amongst others that monetary authorities should try as much as possible to implement sound macroeconomic policies that would enhance stock market growth and development in Nigeria. 

A survey of reverse mergers in the Chinese stock market

2019 ◽  
Vol 9 (1) ◽  
pp. 5-21
Author(s):  
Qingquan Xin ◽  
Ruitao Li ◽  
Sonia Wong
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Regulatory System ◽  
Superior Performance ◽  
Chinese Stock Market ◽  
Regulatory Oversight ◽  
Content Type ◽  
Reverse Mergers ◽  
Regulatory Policies ◽  
Asset Quality

Purpose The purpose of this paper is to provide an introduction to the reverse mergers (RMs) conducted in the Chinese stock market by summarizing the regulatory system, surveying the literature on RMs and analyzing the major characteristics of 161 RM cases. Design/methodology/approach This paper introduces the characteristics and evolution of the regulatory framework governing RM activity in China. Then the paper reviews relevant academic studies on the RMs in China and other countries. Finally, the paper identifies and discusses the major characteristics of 161 RM cases in the Chinese stock market from 2006 to 2016. Findings Private companies that go public via RMs in China not only have superior asset quality but also demonstrate good accounting and stock price performance after listing, and these results are unlike those of studies on the quality of RMs in other countries. Research limitations/implications This paper is based on a survey of 161 RM cases in China’s stock market, with the major characteristics of the RMs being identified and analyzed. The limitations of previous studies and suggestions for further research are discussed. Originality/value This paper suggests that the relative superior performance of RMs in the Chinese stock market is caused by the interplay of market forces and regulatory oversight. The Chinese regulator’s pragmatic and flexible approach plays an important role in formulating regulatory policies that respond to the changing macroeconomic environment and financial markets.

scholarly journals The Effects of Unstable Macroeconomic Indicators on Stock Price Behavior of Banking Sector in the Nigerian Stock Market

2020 ◽  
Vol 11 (2) ◽  
pp. 71-78
Author(s):  
Ibrahim Bello Abdullahi
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Stock Price ◽  
Inflation Rate ◽  
Banking Sector ◽  
Positive Influence ◽  
Price Behavior ◽  
Distributed Lag ◽  
Ex Post ◽  
Long Run

The research aimed to investigate the stock price behavior of banking sector in response to unstable macroeconomic variables in the Nigerian stock market. The research employed ex-post facto research design, and the data were subjected to Autoregressive Distributed Lag method of analysis to examine both the short and long run of the studied variables between 2009 and 2018. The findings reveal significant negative effects of interest rate and foreign reserves on the stock price behavior of the banking sector in the long run. Meanwhile, the inflation rate has a significant positive influence on stock price behavior. Then, the exchange rate is not statistically significant in influencing stock price behavior in the Nigerian stock market. It can be concluded that the stock price behavior of banking sector is influenced by foreign external reserve, interest rate, and inflation rate. It is recommended that the monetary policy rate should be reduced to decrease the cost of borrowing and enhance liquidity level in the stock market.

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