The temporal relation between stock index and Index futures has been and continues to be of interest of regulators, academicians and practitioners alike for a number of reasons such as market efficiency volatility and arbitrage. In perfectly efficient markets profitable arbitrage should not...

The finance industry has grown, financial markets have become more liquid, information technology has been revolutionized. But have financial market prices become more informative? We derive a welfare-based measure of price informativeness: the predicted variation of future cash flows from...

This paper uses a broad geographical sample to investigate stock market integration during the classical Gold Standard. It is novel in estimating 'global components' of stock market returns, using methods proposed by Volosovych (2011), Pukthuanthong and Roll (2009) and Ciccarelli and Mojon...

This paper traces the origin and development of the complex systems theory over the course of history, up to its latest advancement in the study of stock market crashes. The trail of the theory's fuzzy evolution is expansive that covers the ground of the complexity epistemology, natural science...

We introduce a new methodology to categorize institutional herding tendency and direction, that enhances the precision with which herders are identified at the institutional level. The herders are the ones that follow the crowd both on the buy and sell trades, whereas anti-herders are the...

We develop a discrete-time affine stochastic volatility model with time-varying conditional skewness (SVS). Importantly, we disentangle the dynamics of conditional volatility and conditional skewness in a coherent way. Our approach allows current asset returns to be asymmetric conditional on...

Using a recursive modeling approach and data from the Euro area, the following paper analyzes the counter-cyclicity, stock price volatility is believed to demonstrate with respect to the state of the economy. It further tests whether such interdependence is exploitable for volatility...

This paper proposes a new information share for price discovery based on Russell's (1999) autoregressive conditional intensity model. While previous studies rely on equally spaced high frequency data, we use the information conveyed by trade intensities to determine a market's contribution to...

Motivated by the complex dynamics between the oil and stock markets, this study develops a dynamic Markov regime switching-copula-extreme value theory (MRS-copula-EVT) model to quantitatively investigate financial contagion and its characteristics between these two markets. The proposed model,...

This paper investigates the integration among sub-sectors within the environmentally friendly stock market and the integration between these sub-sectors and other financial asset classes. Using the recently developed cross-quantilogram framework, we contribute to the literature by quantifying...