The linear and non-linear dependence of stock returns and trading volume in the Finnish stock market

1994 ◽  
Vol 4 (2) ◽  
pp. 159-169 ◽  
Author(s):  
Teppo Martikainen ◽  
Vesa Puttonen ◽  
Martti Luoma ◽  
Timo Rothovius
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Linear Dependence ◽  
Trading Volume ◽  
Non Linear

scholarly journals The dynamic relationship between stock returns and trading volumes in Nepalese stock market

2020 ◽  
Vol 23 (2) ◽  
pp. 161-172
Author(s):  
Prem Lal Adhikari
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Volume ◽  
Time Series Data ◽  
Stock Exchange ◽  
Causal Effect ◽  
Empirical Relationship ◽  
Insurance Companies ◽  
Series Data ◽  
Dynamic Relationship

 In finance, the relationship between stock returns and trading volume has been the subject of extensive research over the past years. The main motivation for these studies is the central role that trading volume plays in the pricing of financial assets when new information comes in. As being interrelated and interdependent subjects, a study regarding the trading volume and stock returns seem to be vital. It is a well-researched area in developed markets. However, very few pieces of literature are available regarding the Nepalese stock market that explores the association between trading volume and stock return. Realizing this fact, this paper aims to examine the empirical relationship between trading volume and stock returns in the Nepalese stock market using time series data. The study sample is comprised of 49 stocks traded on the Nepal Stock Exchange (NEPSE) from mid-July 2011 to mid-July 2018. This study examines the Granger Causality relationship between stock returns and trading volume using the bivariate VAR model used by de Medeiros and Van Doornik (2008). The study found that the overall Nepalese stock market does not have a causal relationship between trading volume and return on the stock. In the case of sector-wise study, there is a unidirectional causality running from trading volume to stock returns in commercial banks and stock returns to trading volume in finance companies, hydropower companies, and insurance companies. There is no indication of any causal effect in the development bank, hotel, and other sectors. This study also finds that there is no evidence of bidirectional causality relationships in any sector of the Nepalese stock market.

Short-Selling and Behavioral Bias in Korean Stock Market

2017 ◽  
Vol 25 (2) ◽  
pp. 255-278
Author(s):  
Sang Buhm Hahn
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Volume ◽  
Cloud Cover ◽  
Short Selling ◽  
Weather Factors ◽  
Behavioral Bias ◽  
Short Sale ◽  
Sunshine Hours ◽  
Sale Volume

This study investigates whether or not the short-selling behavioral bias of investors exists in the Korean stock market. We analyze how the weather bias related to climate factors affects short-selling traders, commonly known as informed traders. To do this we estimated the dynamic panel model using daily data and examined the relationship between market variables such as stock returns, short sale volume, non-short sale volume, total trading volume, and weather variables consisting of cloud cover and sunshine hours. This study shows that not only returns but also short selling volumes are all affected by weather factors. In the case of stock returns, both cloud cover and sunshine hours have a statistically significant impact on returns, and its sign is estimated to be inversely proportional to both factors. That is, we find that returns decrease on cloud days, but increase on sunny days. In terms of the trading behavior of the market participants, it is interesting to note that the trading volume decreases when the weather is blunted, But did not show any statistical significances. On the other hand, both the original and the seasonally adjusted weather factors of cloud cover have a statistically significant positive effect on the short-sale volume. This means that as the weather worsens, short-selling traders submit more orders, indicating the presence of behavioral bias.

scholarly journals Previsibilidade de Retorno das Ações na Bovespa: Um Teste Envolvendo o Modelo de Fator de Retorno Esperado

2004 ◽  
Vol 2 (2) ◽  
pp. 183
Author(s):  
Luciano Martin Rostagno ◽  
Gilberto De Oliveira Kloeckner ◽  
João Luiz Becker
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Volume ◽  
Factor Model ◽  
Explanatory Power ◽  
Return Predictability ◽  
Expected Return ◽  
Cross Sectional ◽  
Theoretical Assumptions ◽  
History Of

This paper examines the hypothesis of asst return predictability in the Brazilian Stock Market (Bovespa). Evidence suggests that seven factors explain most of the monthly differential returns of the stocks included in the sample. Within the factors that present statistically significant mean, two are liquidity factors (market capitalization and trading volume trend), three refer to price level of stocks (dividend to price, dividend to price trend, and cash flow to price), and two relate to price history of stocks (3 and 12 months excess return). Contradicting theoretical assumptions, risk factors present no explanatory power on cross-sectional returns. Using an expected return factor model, it is contended that stock returns are quite predictable. An investment simulation shows that the model is able to assemble portfolios with statistically significant higher returns. Additional tests indicate that the winner portfolios are not fundamentally riskier suggesting mispricing of assets in the Brazilian stock Market.

scholarly journals Quarterly Earnings Announcement Effect on Stock Return and Trading Volume in Nepal

2019 ◽  
Vol 4 ◽  
pp. 32-47
Author(s):  
Jeetendra Dangol ◽  
Ajay Bhandari
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Volume ◽  
Earnings Announcements ◽  
Good News ◽  
Fiscal Year ◽  
Event Analysis ◽  
Earnings Announcement ◽  
Quarterly Earnings ◽  
Analysis Methodology

The study examines the stock returns and trading volume reaction to quarterly earnings announcements using the event analysis methodology. Ten commercial banks with 313 earnings announcements are considered between the fiscal year 2010/11 and 2017/18. The observations are portioned into 225 earning-increased (good-news) sub-samples and 88 earning-decreased (bad-news) sub-samples. This paper finds that the Nepalese stock market is inefficient at a semi-strong level, but there is a strong linkage between quarterly earnings announcement and trading volume. Similarly, the study provides evidence of existence of information content hypothesis in the Nepalese stock market.

Trading Volume and Cross-Autocorrelations of Stock Returns in Emerging Markets: Evidence from the Taiwan Stock Market

2004 ◽  
Vol 07 (04) ◽  
pp. 509-524
Author(s):  
Wen-Hsiu Kuo ◽  
Hsinan Hsu ◽  
Chwan-Yi Chiang
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Trading Volume ◽  
Price Limits ◽  
Speed Of Adjustment ◽  
New Information ◽  
Weak Evidence ◽  
Market Inefficiency ◽  
Daily Returns

This study empirically investigates the interaction between trading volume and cross-autocorrelations of stock returns in the Taiwan stock market. The result shows that returns on high trading volume portfolios lead returns on low trading volume portfolios when controlled for firm size, indicating that trading volume determines lead-lag cross-autocorrelations of stock returns. Overall, the empirical findings of this study demonstrate similar results for both monthly and daily returns, suggesting that nonsynchronrous trading is not the main reason for the lead-lag cross-autocorrelations presented in this study. Consequently, the empirical results presented here support the speed of adjustment hypothesis, and suggest that some market inefficiency exists in the Taiwan stock market. Additionally, compared with evidence of lead-lag cross-autocorrelations in the larger, less regulated US stock market, as examined by Chordia and Swaminathan (2000), Taiwan stock market displays less evidence of VARs and Dimson beta regressions. We conjecture that this weak evidence may result from the regulations limiting daily price movements in the Taiwan stock market. Although the price limits policy lowers risk and stabilizes stock prices, it also prevents stock prices and trading volume from instantaneously and fully reflecting new information.

Sign in / Sign up

Export Citation Format

Share Document