Do Energy Prices Affect U.S. Investor Sentiment?

The current literature has examined the effect of investor sentiment on energy prices, but no study ever has explored the validity of the reverse question. Therefore, this article explore whether energy prices (i.e., crude oil and natural gas prices) affect U.S. investor sentiment, using the methodology of quantile regression. The empirical results document that controlling for a number of U.S. macroeconomic and financial factors, there exists a statistically significant association between oil and natural gas prices and investor sentiment. However, only natural gas prices appear to retain their statistical significance over the majority of quantiles. These findings received robust support under alternative measures of the investor sentiment index.     

Financial Market Data Versus Accounting Data: Which Better Explains Stock Returns?

This paper presents the comparison of how financial market and accounting data affect stock prices and returns. The goal was to ascertain whether financial information or accounting data dominate in evaluating stock prices. Most valuation techniques used by firms are based on models using either accounting variables (earnings, book value, cash flows, research and development expenses) or financial market data (e.g. beta, market value, interest). The answer is of great importance for valuators and investors as it will help them focus on the most important variables and make better valuations and choices. This answer is also important for accounting standard setters as the preferred method will serve as an indicator for the quality of financial statements and their importance to users. The paper contributes to the existing literature in the fields of value relevance of accounting information and firm valuation and accounting standards (e.g. International Financial Reporting Standards, United States General Accepted Accounting Principles). To answer this question, share prices were estimated based on financial data using the capital asset pricing model and for accounting data, using Ohlson’s model. The results were tested for both methodologies by comparing estimated share prices with actual ones. The greater the correlation between the two variables the better the explanatory power of the model. The focus was on S&P 500 firms for the period 2002–2017.

     

International Comparisons of Labour Productivity in Transport and Communications: The US,the UK and Germany

We construct benchmark estimates of labour productivity covering the transport and communications sectors for the US, UK and Germany for 1992 and 1993. The US lead is substantial in rail and trucking, even after adjusting for differences in stage length, but Britain leads in air transport and all three countries have similar productivity levels in local transport. In telecommunications and postal services the US enjoys a large lead over both the UK and Germany. We compare these estimates based on industry data with ones derived from the national accounts and find them similar in communications but not in transport. For 1973–96, and also 1989–96, productivity was growing slower in the US, hence some of the gap has been closed.