A Note on a Framework for Valuation Ratios Based on Fundamentals*

Valuation ratios divide stock price by accounting metrics such as earnings, earnings growth, and book value. This study adapts the general valuation framework in Ohlson and Juettner-Nauroth (2005) and Ohlson (2005) to present a unified approach for developing valuation ratios based on fundamentals, referred to as fundamental valuation ratios. One starts with a valuation model that is driven by an accounting metric a and its abnormal growth, then divides the valuation model by a to get a fundamental valuation ratio. For any valuation ratio, one can find a corresponding fundamental valuation ratio, as long as the valuation model is based on the same metric a as the valuation ratio denominator.     

Observable Consequences of Trading Structure Differences: On the Use of Variance Ratios in Microstructure Studies

This paper examines the variance ratio tests in studies of transitory volatility and concludes that the variance ratio is an appropriate test of trading structure differences only under certain assumptions regarding the evolution of underlying stock prices and the autocorrelation structure of returns. This result raises caution as to the interpretation of results bases upon the 24-hour variance ratio methodologies in studies of transitory volatility and trading structure effects. A numerical example indicates that errors in inferences can be severe.     

The effectiveness of interest-rate futures contracts for hedging Japanese bonds of different credit quality and duration

This study investigates the effectiveness of the Tokyo Stock Exchange (TSE)-traded Japanese 10-year JGB futures contract to hedge portfolios of Japanese bonds of differing maturity and credit quality. The bond portfolios examined are Government, AAA-, and AA-rated Eurobonds with maturities of 2, 3, 5, 7, 10, and 20 years. Consistent with the recent literature, the study employs univariate methods for calculating hedge ratios based on levels, first differences, and percentage change of each series. Out-of-sample forecasting is used to determine the effectiveness of the calculated hedge ratios for each of the bond portfolios and to determine which approach to calculating hedge ratios is the most effective. The results show that this particular futures contract does provide a good hedge, particularly for those bond terms closest to the 10-year term of the contract. There is some evidence, although not strong, that JGBs are better hedged than AAA and AA bonds. Investors should take some caution when using this futures contract to hedge bond portfolios of different maturities and credit ratings.     

Fair Value Measurements of Control Premiums

As the overview of the current state of research within this paper shows, the debate around fair value measurements is far from over. This paper analyzes fair value measurement requirements in a controversial scenario, namely when a control premium exists. The analyses of the paper show that, while measurement rules around control premiums could have a material impact on fair value measurements and the financial statements as a whole, significant fair value measurement issues remain unresolved. The conclusion is that fair value measurements should include or exclude control premiums consistently. It is argued that including control premiums for all fair value measurements is the most faithful representation of the underlying economic phenomenon. This paper contributes to the fair value measurement debate by comparing the merits of alternative fair value measurements for control premiums and highlights an area where researchers, investors, and other users should exercise caution when evaluating financial statements.     

IT cost benchmarking: Drawing the right conclusions

The use of managerial control ratios for benchmarking IT costs is widely accepted. This installment of Accounting Matters informs CIOs about IT managerial control ratios and the assumptions underlying the use of these ratios in IT cost benchmarking. Incorrect use of these ratios and violation of the assumptions can lead to faulty inferences and costly mistakes. This article proposes a technique for benchmarking IT costs to draw the right conclusions from the data.     

Consideration of technological and environmental heterogeneity in cost efficiency analysis

In order to evaluate and compare the efficiency levels across banking industries, we adopt the meta-frontier model that can assess the technological difference among countries. Given the importance of country specific conditions, we include in our analysis the different specificities of each country to incorporate the technological as the environmental differences in the evaluation of banking efficiencies. Using data on the banking industries of several countries in the MENA region, over the period 1991–2011, the results of the efficiency scores corrected by the technological and environmental gap led us to conclude that Egyptian banks are the most efficient in terms of cost compared with banks in other countries. Egyptian banks enjoy a very favourable banking technology. Our results support the hypothesis that traditional techniques of efficiency analysis based on the efficiency scores of a specific and pooled frontier tend to mystify efficiency levels and may incorrectly identify efficient banks. This paper contributes to the efficiency literature by incorporating technological and environmental heterogeneities in the evaluation of efficiency. This helps to characterize the production process of a bank and provides common standards by which the efficiencies of banks in different countries can be compared in a meaningful way with each other.     

The sacrifice ratio and core inflation

The existing body of research that measures the sacrifice ratio and the determinants of the sacrifice ratio has crucially identified several disinflation episodes across many different countries, while also overwhelmingly finding evidence in favor of the “cold-turkey” approach to disinflation. However all previous studies in this topic are based exclusively on headline measures of inflation. In this paper we investigate what happens if we instead use core inflation to both identify disinflation episodes and measure the sacrifice ratio. Several important differences emerge: for example, headline inflation produces more disinflation episodes than core inflation does – something which is particularly conspicuous during the Great Recession – and episodes that are generally shorter in length. We also find that the argument in favor of the cold-turkey approach to reducing inflation disappears when combining the use of core inflation with sacrifice ratio measures that allow for varying persistent effects on output of disinflation.     

Assessing Financial Performance of Malaysian Islamic and Conventional Commercial Banks Using Financial Ratios

A rapid growth of Islamic banking has led the Malaysian economy to gaining greater prosperity than before. Presently, there are more than 20 Islamic banks operating in Malaysia. Financial ratios calculated from the categories of liquidity, profitability, risk and solvency, and efficiency of banks can be used to gauge the overall financial performance of the banking industry. The objective is to assess the overall performance of Islamic banks as well as conventional banks in Malaysia using financial ratios. The findings indicated that conventional commercial banks in Malaysia do have better quality assets, are more liquid, and are more profitable than Islamic banks. Total expenses in conventional banks are much higher, which may affect profitability and the significant amount of non-performing loans （NPLs）, thus increasing solvency risk. The findings show positive insights of Islamic banks, whose confidence and trust are rising, over a short period with strong improvements in asset utilization, effective management, and expenditure control. This comparative study clearly identified that conventional banks are better financial performers compared to Islamic banks in Malaysia during the period of 2006-2010.     

Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods

Good statistical practice dictates that summaries in Monte Carlo studies should always be accompanied by standard errors. Those standard errors are easy to provide for summaries that are sample means over the replications of the Monte Carlo output: for example, bias estimates, power estimates for tests and mean squared error estimates. But often more complex summaries are of interest: medians (often displayed in boxplots), sample variances, ratios of sample variances and non‐normality measures such as skewness and kurtosis. In principle, standard errors for most of these latter summaries may be derived from the Delta Method, but that extra step is often a barrier for standard errors to be provided. Here, we highlight the simplicity of using the jackknife and bootstrap to compute these standard errors, even when the summaries are somewhat complicated. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute     

Value of hedge and expected returns

We demonstrate how it is possible to generate value for an investor with a hedge attached to the buy-and-hold strategy of an S&P 500 index fund. We study the S&P 500 index portfolio (not including dividends) and the value-weighted S&P 500 index portfolio (including dividends) of the Center for Research in Securities Prices for 1967:01–2011:12, using the capacity utilization and the unemployment rates in real time to determine if a hedge position should be initiated or closed. A hedge is initiated if the capacity utilization, the unemployment rate or a combination of the two signals a contraction in the real economy. The hedge position is closed if it signals otherwise an expansion. We use utility gains (Campbell and Thompson 2008), the manipulation-proof performance measure (MPPM) statistics (Ingersoll et al. 2007) and the P-Sharpe ratio (Bailey and López de Prado 2012) to evaluate the performance of a particular hedge strategy. The empirical results show that there are infinitely many hedges that can generate positive utility gains, higher MPPM statistics and higher P-Sharpe ratios.