The International Financial Reporting Standards and Their Implementation into the US Accounting System

This paper examines the differences between the International Financial Reporting Standards (IFRS) and Generally Accepted Accounting Principles (GAAP). The areas closely examined are the differences inrevenue recognition and reporting of intangibles. By investigating the differences in the two sets of standards I put into context the changes that would be necessary for domestic companies adopting the IFRS. The differences between these two standards are important because the implementation of IFRS into the U.S. is a current issue for domestic companies. It is important to note how the new standards will affect different companies in different ways. Depending on the size and industry, some companies will have a harder time transitioning to the new standards. However, once these companies make the transition to IFRS they will have better recognition and reporting of revenues and intangibles.

A Note on US Royalty Relief, Rent Sharing and Offshore Oil Production

This paper offers an economic analysis explaining why royalty relief under US Federal legislation is expensive in terms of revenue foregone, but is largely ineffective in increasing US offshore oil production. Repeal of royalty relief is therefore justified.

Geographic Deregulation and Commercial Bank Performance in US State Banking Markets

This paper examines the effects of geographical deregulation on commercial bank performance across states. We reach some general conclusions. First, the process of deregulation on an intrastate and interstate basis generally improves bank profitability and performance. Second, the macroeconomic variables -- the unemployment rate and real personal income per capita -- and the average interest rate affect bank performance as much, or more, than the process of deregulation. Finally, while deregulation toward full interstate banking and branching may produce more efficient banks and a healthier banking system, we find mixed results on this issue.

Using Leading Indicators to Forecast US Home Sales in a Bayesian VAR Framework

This paper uses Bayesian vector autoregressive models to examine the usefulness of leading indicators in predicting US home sales. The benchmark Bayesian model includes home sales, the price of homes, the mortgage rate, real personal disposable income, and the unemployment rate. We evaluate the forecasting performance of six alternative leading indicators by adding each, in turn, to the benchmark model. Out-of-sample forecast performance over three periods shows that the model that includes building permits authorized consistently produces the most accurate forecasts. Thus, the intention to build in the future provides good information with which to predict home sales. Another finding suggests that leading indicators with longer leads outperform the short-leading indicators.

Is the Great Moderation Ending? UK and US Evidence

The Great Moderation, the significant decline in the variability of economic activity, provides a most remarkable feature of the macroeconomic landscape in the last twenty years. A number of papers document the beginning of the Great Moderation in the US and the UK. In this paper, we use the Markov regime-switching models of Hamilton (1989) and Hamilton and Susmel (1994) to document the end of the Great Moderation. The Great Moderation in the US and the UK begin at different point in time. The explanations for the Great Moderation fall into generally three different categories -- good monetary policy, improved inventory management, or good luck. Summers (2005) argues that a combination of good monetary policy and better inventory management led to the Great Moderation. The end of the Great Moderation, however, occurs at approximately the same time in both the US and the UK. It seems unlikely that good monetary policy would turn into bad policy or that better inventory management would turn into worse management. Rather, the likely explanation comes from bad luck. Two likely culprits exist . energy-price and housing-price shocks.

US Corporate Default Swap Valuation: The Market Liquidity Hypothesis and Autonomous Credit Risk

This paper develops a reduced form three-factor model which includes a liquidity proxy of market conditions which is then used to provide implicit prices. The model prices are then compared with observed market prices of credit default swaps to determine if swap rates adequately reflect market risks. The findings of the analysis illustrate the importance of liquidity in the valuation process. Moreover, market liquidity, a measure of investors. willingness to commit resources in the credit default swap (CDS) market, was also found to improve the valuation of investors. autonomous credit risk. Thus a failure to include a liquidity proxy could underestimate the implied autonomous credit risk. Autonomous credit risk is defined as the fractional credit risk which does not vary with changes in market risk and liquidity conditions.