We analyze the role of hedge fund, swap dealer and arbitrageur activity in a Markov regime-switching model between high volatility bear markets and low volatility bull markets for crude oil, corn and Mini-S&P500 index futures. We find that these institutional positions reflect fundamental...

The paper argues that bond investors (and, implicitly large creditors in general), may not necessarily demonstrate the “Investors' Smartness” that some previous studies attributed to large institutional holders, when it comes to pricing-in for economic shocks likely to occur in future. This...

This paper defines and interprets the changes in the stock market space. There are analyzed 63 companies listed on the Warsaw Stock Exchange in the period from beginning 2006 to the end of September 2012. This is a period, covering entirely the last two financial crises from their first symptoms...

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...

We examine volatility connectedness of 11 sectoral indices in the US using daily data from January 01, 2013 to December 31, 2020. We employ the connectedness measures of Diebold and Yilmaz (2009, 2012, 2014), unveiling changes in the US sectoral connectedness and stylized facts regarding...

We develop an empirically highly accurate discrete-time daily stochastic volatility model that explicitly distinguishes between the jump and continuous time components of price movements using nonparametric realized variation and Bipower variation measures constructed from high-frequency...

We propose a framework for understanding recurrent historical episodes of vigorous economic expansion accompanied by extreme asset valuations, as exhibited by the U.S. in the 1990s. We interpret this phenomenon as a high-valuation equilibrium with a low effective cost of capital based on...