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Reviews previous research on the efficiency and performance of financial institutions and uses Siems and Barr’s (1998) data envelopment analysis (DEA) model to evaluate the relative productive efficiency of US commercial banks 1984‐1998. Explains the methodology, discusses the input and output measures used and relates bank performance measures to efficiency. Describes the CAMELS rating system used by bank examiners and regulators; and finds that banks with high efficiency scores also have strong CAMELS ratings. Summarizes the other relationship identified and recommends the use of DEA to help analysts and policy makers understand organizations in greater depth, regulators and examiners to develop monitoring tools and banks to benchmark their processes.

Based on annual data for medium-sized U.S. commercial banks from 1991 through 1998, we investigate both the decision of whether to participate in interest rate derivatives and, for those banks participating, the extent of their involvement as end users. We find the hedging of balance sheet positions is an important motivation for involvement in derivatives. In addition, the extent of involvement is directly related to a bank's capital position. These results pointing to the typical end user as a financially secure bank seeking to hedge unwanted risk argue against the need for any additional restrictions on derivatives activities.

While subordinated debt can be used to increase market discipline on banks by playing a corporate governance role in the presence of a federal safety net that encourages risk taking, it also has implications for banks’ loan sales. Using two measures of banks’ loan sales activity, we find greater proportions of subordinated debt increase the likelihood that banks engage in loan sales activity, and are associated with greater proportions of loan sales. Our results have implications about banks’ lending efficiency as well as their transparency and disclosure policies that could play a role in the transmission mechanism of monetary policy.

Terrorism, an important component of Political risk as a possible determinant of ADRs (American Depository Receipts) returns have received little attention in academic literature. To address this issue and examine whether political risk is a major determinant of ADR returns of emerging market countries, this paper empirically examines market valuation of Indian ADRs around acts of terrorism. Using a sample of 52 such events in the sample period Jan 2003‐Dec 2003 we empirically analyze returns of Indian ADRs. The results from our study indicate a marginally negative significant effect, failing to indicate that event of terrorist attacks severely affect the Indian ADRs listed on the US stock market. This may be explained by a combined effect of; (a) the optimism of US investors towards emerging markets, and (b) market participants becoming more resilient and making informed choices around the “general” events of terrorism.

Advances in Econometrics is a series of research volumes first published in 1982 by JAI Press. The authors present an update to the history of the Advances in Econometrics series. The initial history, published in 2012 for the 30th Anniversary Volume, describes key events in the history of the series and provides information about key authors and contributors to Advances in Econometrics. The authors update the original history and discuss significant changes that have occurred since 2012. These changes include the addition of five new Senior Co-Editors, seven new AIE Fellows, an expansion of the AIE conferences throughout the United States and abroad, and the increase in the number of citations for the series from 7,473 in 2012 to over 25,000 by 2022.