The Desirability of forgiveness in regulatory enforcement

I present a model that explains two common features of regulatory enforcement: selective forgiveness of noncompliance, and the collection of information on a firm’s compliance activities and not just its compliance status. I show that forgiving noncompliance is optimal if the information on a firm’s compliance activities constitutes sufficiently strong evidence of the firm having exerted a high level of compliance effort. The key benefit of forgiving noncompliance is a reduction in the probability with which the firm needs to be monitored.     

Political instability and inflation in Pakistan

This study investigates the effects of political instability on inflation in Pakistan. Applying the Generalized Method of Moments technique and using data from 1951 to 2007, we examine this link through two different models. The results of the ‘monetary’ model suggest that the effects of monetary determinants are rather marginal and that they depend upon the political environment of Pakistan. The ‘nonmonetary’ model's findings explicitly establish a positive association between political instability and inflation. This is further confirmed through analysis based on interactive dummies that reveal political instability significantly leading to high (above average) inflation.     

Exact moments of order statistics from a power-function distribution

Summary

In this note a problem on exact moments of order statistics from a power-function distribution is considered. The characteristic function of the kth order statistic is obtained and moments about the origin of the kth order statistic are expressed in terms of gamma functions. An exact expression for the covariance of any two order statistics Y_i < Y_j is obtained in terms of beta and gamma functions. Various recurrence relations between the expected values of order statistics are also obtained.     

Estimating Volatility Persistence in Oil Prices Under Structural Breaks

Policy makers and financial market participants are interested in knowing how shocks affect the volatility of oil prices over time. We accurately compute the volatility persistence by incorporating endogenously determined structural breaks into a GARCH model. Contrary to previous findings, we find that oil shocks dissipate very quickly but have a strong initial impact. Understanding this behavior is not only important for derivative valuation and hedging decisions but for broader financial markets and the overall economy, for which there are significant consequences.     

Risk management of precious metals

This paper examines volatility and correlation dynamics in price returns of gold, silver, platinum and palladium, and explores the corresponding risk management implications for market risk and hedging. Value-at-Risk (VaR) is used to analyze the downside market risk associated with investments in precious metals, and to design optimal risk management strategies. We compute the VaR for major precious metals using the calibrated RiskMetrics, different GARCH models, and the semi-parametric Filtered Historical Simulation approach. The best approach for estimating VaR based on conditional and unconditional statistical tests is documented. The economic importance of the results is highlighted by assessing the daily capital charges from the estimated VaRs.     

The changing role of house price dynamics over the business cycle

In this paper, we attempt to analyse the relationship between house price dynamics and the business cycle. Employing a time-varying transition probability Markov switching framework, we provide empirical evidence that house price growth may prove a useful leading indicator for turning point detection. Focusing on three countries, the US, UK and Spain, we furthermore provide evidence that although potentially informative from an overall perspective in business cycle modelling, the significance of signals contained in house prices may not be symmetric across the identified high growth and low growth states. In addition, we suggest a possible range of values for house price deflation which may trigger a recession the following period.     

A conceptual framework for intra-company technology transfer: cases of leveraging production process innovations across MNEs

Multinational enterprises (MNEs) strive to commercialise their knowledge base globally by mobilising their technological competencies, transferring them across organisational boundaries, and selling the resulting systems, products, processes, and services worldwide. However, co-operation within MNEs still leaves potential for improvement, because intra-company transfers of technology as modes of corporate expansion and conquest of new international markets seldom work efficiently. Academic literature has not adequately addressed this important issue. Based on six case studies from MNEs, this paper highlights the challenges of intra-company technology transfer by examining exemplary cases of production process-related technology transfers. It establishes a conceptual framework model for intra-company technology transfers and identifies important success factors.     

Model Selection for Monetary Policy Analysis: How Important is Empirical Validity?*

We investigate the economic significance of trading off empirical validity of models against other desirable model properties. Our investigation is based on three alternative econometric systems of the supply side, in a model that can be used to discuss optimal monetary policy in Norway. Our results caution against compromising empirical validity when selecting a model for policy analysis. We also find large costs from basing policies on the robust model, or on a suite of models, even when it contains the valid model. This confirms an important role for econometric modelling and evaluation in model choice for policy analysis.     

Pollution Taxes When Firms Choose Technologies

We consider the properties of a pollution tax when the regulated firm has a discrete choice of technologies with which to reduce pollution. The firm's technology choice makes possible two sequences of play: the traditional one in which the regulator moves first, committing to a tax rate before the firm adopts a technology, and an alternative one in which the firm moves first by adopting a technology. We find that a range of pollution levels, including possibly the first-best one, are unattainable when the regulator moves first. The regulator may be better able to achieve the first-best outcome when the firm moves first.