Using a vector autoregressive (VAR) model with monthly data from 1988 through 2001, this study investigates factors that drive the excess returns on a widely followed mortgage-backed securities (MBS) index. We find that eight important economic variables (industrial productions, new home sales,...

This paper examines volume and volatility dynamics by accounting for market activity measured by the time duration between two consecutive transactions. A time-consistent vector autoregressive model (VAR) is employed to test the dynamic relationship between return volatility and trades using...

The large deviation of the actual return of a leveraged exchange-traded fund (LETF) from the leveraged multiple of the underlying index return has drawn considerable attention from investors, regulators, and the financial media. Despite this attention, the sources and fundamental determinants of...

Using the longest history of a U.S. equity market index, this paper simulates the return deviation and multiple deviation for Leveraged Exchange-Traded Products (LETPs) with different rebalancing frequencies, including daily, monthly, annually, and every five years, over various holding periods....

This study examines the tracking performance of U.S.-traded International Leveraged Exchanged-traded Funds (ILETFs) that track the following markets: Brazil, China, Europe, Japan, and Mexico. We find that the beta and returns of these ILETFs can deviate dramatically from their naïve expected...

This article examines the tracking performance of the United States-listed Guggenheim China Real Estate Exchange-Traded Fund (NYSE ticker: TAO) relative to its underlying benchmark index (Alphashare China Real Estate Index, ACNRET) and the actual China Home Price Index (CHPI). The daily return...

Focusing on economic distress episodes in an industry, we estimate the effect of conglomeration on resource allocation. Distressed segments have higher sales growth, higher cash flow, and higher expenditure on research and development than single-segment firms. This is especially true for...