This paper investigates the asymmetric volatility behavior of Nepalese stock market including the spillover effects from the US and Indian equity markets. We model asymmetric volatility within generalized autoregressive conditional heteroscedasticity framework using a comprehensive data for...

This paper examines the overreaction hypothesis on market indices for three- and five-year investment periods using end-of-month data from 49 Morgan Stanley Capital International indices from December 1970 to December 2018. The returns were computed as holding-period returns, instead of...

Using a novel collection of market characteristics from 40 countries, this paper test competing explanations behind five major anomalies classified in Hou, Xue, and Zhang (2015): momentum, value-growth, investment, profitability, and trading frictions. Results show that anomaly returns highly...

We test the biasedness of unsolicited ratings relative to solicited ratings using the ex post firm performance measured by the long-run stock performance of firms following rating announcements and changes. We find that the announcements of new unsolicited ratings are followed by negative...

In today’s interrelated economies, financial information travel at speed of light to reach investors around the globe. Global financial markets experience regular shocks that transmit negative waves to other equity markets and different asset classes. Given the unique characteristics of...

We show that log-dividends (d) and log-prices (p) are cointegrated, but, instead of de facto assuming the stationarity of the classical log dividend–price ratio, we allow the data to reveal the cointegration vector between d and p. We define the modified dividend–price ratio (mdp), as the...

In this paper, we extend the literature on crash prediction models in three main ways. First, we explicitly relate crash prediction measures and asset pricing models. Second, we present a simple, effective statistical significance test for crash prediction models. Finally, we propose a...

Any lead-lag effect in an asset pair implies the future returns on the lagging asset have the potential to be predicted from past and present prices of the leader, thus creating statistical arbitrage opportunities. We utilize robust lead-lag indicators to uncover the origin of price discovery...