This research observes a time varying relationship between stock returns, volatilities and the online search volume in regard to selected CESEE (Central, Eastern and South-Eastern European) stock markets. The main hypothesis of the research assumes that a feedback relationship exists between...

The energy sector is one of the most important in the world, so that time series fluctuations in leading energy sources have been analysed widely. As the leading energy commodities are traded on international stock exchanges, the analysis of the fluctuations in stock and financial derivatives...

In this paper we investigate the relationship between volatility, measured by realized volatility, and trading volume. We show that volume and volatility are long memory but they are not driven by the same latent factor as suggested by the fractional cointegration analysis. We analyze the degree...

This study empirically investigates the effects of options trading on future stock returns. Leveraging the Shanghai Stock Exchange 50 exchange-traded fund (50ETF) options trading data in China, we show that put-call ratios, skewness ratios, and China's Volatility Index exhibit economically and...

The main theme of the paper is to analyze whether the size has any effect on return-volume relationship. It also examines the casual relationship between returns and trading volume. The study also examines the duration of impact of stock returns on trading volume and the trading volume on stock...

We analyze investors' motives for trading on international stock markets and investigate whether evidence for these motives is robust when time-varying market volatility, changes between calm and turbulent periods, and existence of international financial spillovers are controlled for. Applying...

This study investigates the nature of relationship between price and trading volume for 50 Indian stocks. Firstly the contemporaneous and asymmetric relation between price and volume are examined. Then we examine the dynamic relation between returns and volume using VAR, Granger causality,...

Investor overconfidence has been proposed to explain various anomalous findings in security markets. The theory of investor overconfidence provides testable implications assuming investor overestimation of their abilities and private information and biased self-attributions. High (low) trading...

We develop spectral volume models to systematically estimate, explain, and exploit the high-frequency periodicity in intraday trading activities using Fourier analysis. The framework consistently recovers periodicities at specific frequencies in three steps, despite their low signal-to-noise...