scholarly journals The COVID-19 pandemic, volatility, and trading behavior in the bitcoin futures market

2022 ◽  
Vol 59 ◽  
pp. 101519
Author(s):  
Beum-Jo Park
Keyword(s):  
Futures Market ◽  
Trading Behavior

Does VPIN provide predictive information for realized volatility forecasting: evidence from Chinese stock index futures market

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Conghua Wen ◽  
Fei Jia ◽  
Jianli Hao
Keyword(s):  
High Frequency ◽  
Realized Volatility ◽  
Futures Market ◽  
Stock Index ◽  
Stock Index Futures ◽  
Trading Behavior ◽  
Volatility Forecasting ◽  
Content Type ◽  
Index Futures ◽  
Intraday Data

PurposeUsing intraday data, the authors explore the forecast ability of one high frequency order flow imbalance measure (OI) based on the volume-synchronized probability of informed trading metric (VPIN) for predicting the realized volatility of the index futures on the China Securities Index 300 (CSI 300).Design/methodology/approachThe authors employ the heterogeneous autoregressive model for realized volatility (HAR-RV) and compare the forecast ability of models with and without the predictive variable, OI.FindingsThe empirical results demonstrate that the augmented HAR model incorporating OI (HARX-RV) can generate more precise forecasts, which implies that the order imbalance measure contains substantial information for describing the volatility dynamics.Originality/valueThe study sheds light on the relation between high frequency trading behavior and volatility forecasting in China's index futures market and reveals the underlying market mechanisms of liquidity-induced volatility.

Information sources and trading behavior: does investor personality matter?

2016 ◽  
Vol 8 (2) ◽  
pp. 94-117 ◽  
Author(s):  
Muhammad Zubair Tauni ◽  
Hong Xing Fang ◽  
Amjad Iqbal
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Futures Market ◽  
Equation Modeling ◽  
Big Five Personality ◽  
Sources Of Information ◽  
Trading Behavior ◽  
Content Type ◽  
Trading Frequency ◽  
The Impact

Purpose This paper aims to investigate the impact of sources of information on trading behavior by analyzing the influence of investor personality in Chinese futures market. Design/methodology/approach The authors adopted the Big Five personality framework and examined the survey results of individual investors (n = 333) in Chinese futures market. Personality traits of futures investors were measured by the NEO-Five Factor Inventory (Costa and McCrae, 1989) which is a shortened version of revised NEO personality inventory of the Big Five model (Costa and McCrae, 1992). Confirmatory factor analysis was conducted to assess the fitness of model. Structural equation modeling was used to evaluate the moderating influence of investor personality traits on the association between source of information and trading behavior. Findings The results confirm the previous findings that the sources of information used by investors as a foundation of their financial choices have a significant impact on trading frequency. The authors also provide an empirical evidence that investor personality traits moderate the relationship between sources of information and trading behavior. Financial advice from professionals is likely to increase trading frequency in investors with neuroticism and openness personality traits, and to reduce trading frequency in conscientious and extravert investors. Similarly, financial information acquired via word-of-mouth communication results in more trading in extravert and agreeable investors. Finally, information acquisition from specialized press causes more adjustment of conscientious investors’ portfolios. Theoretical explanations, implications and recommendations for future research are discussed. Originality/value This study combines information search and behavioral finance literature to demonstrate that the impact of various sources of market information on asset allocation decisions is influenced by investor personality. No previous study has been conducted yet to explain variations in the impact of sources of information on trading behavior by the Big Five personality traits and this paper seeks to fill this gap in Chinese futures market.

An Internal Control Weakness: FERC and Investor's Trading Behavior

2017 ◽  
Vol 26 (3) ◽  
pp. 175-217
Author(s):  
Eunhye Jo ◽  
Haewon Moon
Keyword(s):  
Internal Control ◽  
Trading Behavior

Optimal Hedge Ratio and Hedging Effectiveness in Stock Futures Market: Evidence from National Stock Exchange, India

2019 ◽  
Vol 118 (3) ◽  
pp. 137-152
Author(s):  
A. Shanthi ◽  
R. Thamilselvan
Keyword(s):  
Banking Sector ◽  
Stock Exchange ◽  
Research Work ◽  
Futures Market ◽  
Least Square ◽  
Time Varying ◽  
Hedge Ratio ◽  
Hedging Effectiveness ◽  
Out Of Sample ◽  
Optimal Hedge

The major objective of the study is to examine the performance of optimal hedge ratio and hedging effectiveness in stock futures market in National Stock Exchange, India by estimating the following econometric models like Ordinary Least Square (OLS), Vector Error Correction Model (VECM) and time varying Multivariate Generalized Autoregressive Conditional Heteroscedasticity (MGARCH) model by evaluating in sample observation and out of sample observations for the period spanning from 1st January 2011 till 31st March 2018 by accommodating sixteen stock futures retrieved through www.nseindia.com by considering banking sector of Indian economy. The findings of the study indicate both the in sample and out of sample hedging performances suggest the various strategies obtained through the time varying optimal hedge ratio, which minimizes the conditional variance performs better than the employed alterative models for most of the underlying stock futures contracts in select banking sectors in India. Moreover, the study also envisage about the model selection criteria is most important for appropriate hedge ratio through risk averse investors. Finally, the research work is also in line with the previous attempts Myers (1991), Baillie and Myers (1991) and Park and Switzer (1995a, 1995b) made in the US markets

Are Indian Investors Return Chasers? An Anatomy of their Trading Behavior

GIS Business ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. 32-44
Author(s):  
Martin Bernard ◽  
Malabika Deo
Keyword(s):  
Equity Returns ◽  
Trading Behavior ◽  
Momentum Effect ◽  
Momentum Strategy ◽  
Price Momentum ◽  
Momentum Profits ◽  
Indian Context ◽  
Time Period ◽  
Monthly Return ◽  
Indian Stock Market

Momentum has remained an unanswered anomaly in finance literature. Researchers have pointed out two arguments, whether the source of prior return anomalies are rational or behavioral. In this paper, we examined return chasing tendency investors and the profitability of probable price momentum strategy in Indian equity market using the monthly return data of equities represented in BSE-500 index encompassing the time period from July 2004 to Jun 2014. Study is an attempt to analyze momentum effect before, during and after the financial crisis of 2007–2009 to check whether investors continue to follow the same strategy during crisis or their behavior undergoes any change. Also study examined the adequacy of rational CAPM models to explain momentum profits. The result evidenced a strong presence of economically and statistically significant momentum profit in Indian stock market equity returns. Therefore return chasing tendency of Indian investors is found to be persistent in the intermediate horizon in Indian context. Closer observation of the results reveals that, Indian investors are winners chasers rather than investor in past losers. Study also confirmed that investors sentiments are volatile according to general market environment and inadequacy of rationalist equilibrium model to explain momentum profits.

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