A framework to measure integrated risk

A framework underlying various models that measure the credit risk of a portfolio is extended in this paper to allow the integration of credit risk with a range of market risks using Monte Carlo simulation. A structural model is proposed that allows interest rates to be stochastic and provides closed-form expressions for the market value of a firm's equity and its probability of default. This model is embedded within the integrated framework and the general approach illustrated by measuring the risk of a foreign exchange forward when there is a significant probability of default by the counterparty. For this example moving from a market risk calculation to an integrated risk calculation reduces the expected future value of the instrument by an amount that could not be calculated using the common pre-settlement exposure technique for estimating the credit risk of a derivative.     

Empirical analysis of the average asset correlation for real estate investment trusts

The credit risk capital requirements within the current Basel II Accord are based on the asymptotic single risk factor (ASRF) approach. The asset correlation parameter, defined as an obligor's sensitivity to the ASRF, is a key driver within this approach, and its average values for different types of obligors are to be set by regulators. Specifically, for commercial real estate (CRE) lending, the average asset correlations are to be determined using formulas for either income-producing real estate or high-volatility commercial real estate. In this paper, the value of this parameter was empirically examined using portfolios of U.S. publicly-traded real estate investment trusts (REITs) as a proxy for CRE lending more generally. CRE lending as a whole was found to have the same calibrated average asset correlation as corporate lending, providing support for the recent U.S. regulatory decision to treat these two lending categories similarly for regulatory capital purposes. However, the calibrated values for CRE categories, such as multi-family residential or office lending, varied in important ways. The comparison of calibrated and regulatory values of the average asset correlations for these categories suggests that the current regulatory formulas generate parameter values that may be too high in most cases.     

Firms’ performance under different bankruptcy systems: a Europe–USA empirical analysis

This study empirically analyses the effect that the bankruptcy law has on firms’ performance based on its financial situation. To do this, we considered the different types of efficiency and their influence on firms’ value. The study was carried out for Germany, Spain, the United States, France and the United Kingdom. We applied System‐GMM estimation to dynamic panel data. The main results show that under creditor‐oriented systems, there is a decrease in the value of both financially distressed firms and those filing for bankruptcy.     

Board diversity reforms: Do they matter for EU bank performance?

We examine the impact of governance reforms related to board diversity on the performance of European Union banks. Using a difference‐in‐difference approach, we document that reforms increase bank stock returns and their volatility within the first 3 years after their enactment. The type of reform matters, with quotas increasing return volatility. The effectiveness of reforms depends on a country's institutional environment. The impact of reforms on return volatility is found to be beneficial in countries more open to diversity, with common law system and with greater economic freedom. Finally, reforms play a bigger role in banks that have ex ante less heterogeneous boards.     

Hotel Efficiency Analysis from the Customer’s Point of View in Romania: A Stochastic Production Frontier Approach

The purpose of this article is to measure the efficiency of hotel units in Romania from the customers’ point of view and to identify factors that explain the differences in efficiency between hotel units. A stochastic production frontier is estimated together with a technical inefficiency model using cross-sectional data from 622 hotel units in Romania. The results show that the average efficiency is high. However, there are significant differences between hotels in different regions and with different star ratings. The most influential factor affecting efficiency is the online visibility of a hotel unit on social media platforms and on travel planning sites. The study’s results offer insight for hotel decision-makers to be able to improve the perception of hotel efficiency by taking appropriate action to meet customer needs.     

How do UK Banks React to Changing Central Bank Rates?

This paper explores the interest rate transmission mechanism using a broad disaggregated sample of UK deposit and credit products. For a large proportion of rates the adjustment speed is time-varying, switching among four regimes according to the direction of the policy rate and its effect on the disequilibrium gap. In general, this sign asymmetry implies faster adjustment to the long run path when the policy rate revision widens the gap. There is evidence of curvature in the catch-up effect towards equilibrium, namely, large gaps entail a disproportionately faster correction although mainly for deposits. The size of the policy rate change also impacts the adjustment speed. The notable heterogeneity found across financial institutions/products regarding the presence of these nonlinear patterns raises important questions on how to assess the effectiveness of monetary policy. The cross-section heterogeneity uncovered can be explained to some extent by diversification, profit volatility, product range, market concentration and menu costs.     

When Research Meets Development: Antecedents and Implications of Transfer Speed

This paper focuses on the organization of new product development in large, R&D‐intensive firms. In these firms, research and development activities are often separated. Research is conducted in dedicated research projects at specialized research labs. Once research results are achieved by research projects, they are transferred to business units for further development and commercialization. We investigate the speed whereby research projects transfer their first research results to business units (hereafter: transfer speed). In particular, we analyze the antecedents and performance implications of transfer speed. Based on data of 503 research projects from a European R&D intensive manufacturing firm, our results suggest that a fast transfer speed (as measured by the time it takes for a research project to develop and transfer its first research result to business units) is associated with a better research performance (as measured by the total number of transfers the research project generates). Moreover, we find that different types of external R&D partners—science‐based and market‐based partners—play distinct roles in speeding up project first research transfers. While market‐based partnerships (i.e., customers and suppliers) generally contribute to a faster transfer of first research results, science‐based partnerships (i.e., universities and research institutions) only speed up first research transfers of technologically very complex projects. Our results also show that early patent filings by research projects accelerate first research transfers.     

Factors affecting classroom participation and how participation leads to a better learning

The purpose of this paper is twofold. First, we analyze various course- and student-related factors that affect participation grades within several college accounting classes. The second purpose is to determine whether in-class participation grades have an effect on exam performance in these classes. We find that, unlike in liberal arts and sciences courses, in accounting courses, participation grades for female students do not differ from participation grades for their male counterparts, regardless of class level. Overall, course level and student major have no direct effect on participation grades; however, the accounting majors and students in the lower level courses have better attendance than do non-accounting majors and students in more advanced courses. We observe that class schedule, in particular class duration and semester, affects students’ participation performance. Lastly, we find that students who participate more in classroom discussions perform 25% better on exams than do those with lower participation grades. This relationship holds for the three elements of participation grading: frequency of participation, consistency of participation, and attendance.     

Performance of Moving Average Trading Rules in a Volatile Stock Market: The Russian Evidence

This article examines the profitability of dual moving average crossover (DMAC) trading strategies in the Russian stock market over the 2003–12 period. It contributes to the existing technical analysis (TA) literature by testing, for the first time, the applicability of ordered weighted moving averages (OWMA) as an alternative calculation basis for determining DMACs. In addition, this article provides the first comprehensive performance comparison of DMAC trading rules in the stock market that is known as one of the most volatile markets in the world. The results show that the best trading strategies of the in-sample period can also outperform their benchmark portfolio during the subsequent out-of-sample period. Moreover, the outperformance of the best DMAC strategies is mostly attributable to their superior performance during bearish periods and, particularly, during stock market crashes.