A multi-country test of the Fisher model for stock returns

This article provides a test of the Fisher model, linking expected stock returns and inflation, based on international data. Since the Fisher model is ‘universal’ and calls for a slope of 1 in any country, we improve the testing power by conducting a joint test over eight countries. The pooling of data for several countries seems to reduce the small-sample bias. We test the Fisher model, using an instrumental variable approach, for holding-period horizons ranging from 1–12 months. The Fisher model is not rejected at any horizon: however, the magnitude of the slope coefficient lends stronger support at long horizons. This study using multi-country panel data provides evidence corroborating the finding of Boudoukh and Richardson (1993) that the Fisher model holds at long horizons (5 years), using 180 years of US data.     

A test of the widespread-point-shaving theory

We test whether corruption is widespread in NCAA basketball by examining scoring patterns in games involving suspected point shavers. If conspiracy occurs frequently, then we should find that strong favorites score fewer points and/or allow more points than expected. However, findings reveal that strong favorites, previously believed to be the most likely candidates to engage in point shaving, may instead be the least likely. We propose that a shift in coaching strategy late in blowout games explains the anomalous bet outcome distribution patterns previously identified in the NCAA basketball betting market.     

A test for rational bubbles in the NASDAQ stock index: A fractionally integrated approach

In this paper we test for the presence of rational bubbles in the NASDAQ stock market index over the period 1994:06–2003:11 by means of a methodology based on fractional processes. The results suggest that the existence of bubbles depends on the sampling frequency used in the analysis. We cannot reject the unit root hypothesis when using monthly data on price–dividend ratios, which according to the present value model suggests the existence of rational bubbles. However, we reject this hypothesis in favor of fractional alternatives when using daily and weekly data. This might be explained by the temporal aggregation and/or the sample sizes used in the application.     

A modified Corrado test for assessing abnormal security returns

Event studies typically use the methodology developed by Fama et al. [1969 Fama, E., Fisher, L., Jensen, M. and Roll, R. 1969. The adjustment of stock prices to new information. International Economic Review, 10(1): 1–21. [Crossref] , [Google Scholar]. The adjustment of stock prices to new information. International Economic Review 10, no. 1: 1–21] to segregate a stock's return into expected and unexpected components. Moreover, conventional practice assumes that abnormal returns evolve in terms of a normal distribution. There is, however, an increasing tendency for event studies to employ non-parametric testing procedures due to the mounting empirical evidence which shows that stock returns are incompatible with the normal distribution. This paper focuses on the widely used non-parametric ranking procedure developed by Corrado [1989 Corrado, C. 1989. A nonparametric test for abnormal security price performance in event studies. Journal of Financial Economics, 23(2): 385–95. [Crossref], [Web of Science ®] , [Google Scholar]. A nonparametric test for abnormal security price performance in event studies. Journal of Financial Economics 23, no. 2: 385–95] for assessing the significance of abnormal security returns. In particular, we develop a consistent estimator for the variance of the sum of ranks of the abnormal returns, and show how this leads to a more efficient test statistic (as well as to less cumbersome computational procedures) than the test originally proposed by Corrado (1989 Corrado, C. 1989. A nonparametric test for abnormal security price performance in event studies. Journal of Financial Economics, 23(2): 385–95. [Crossref], [Web of Science ®] , [Google Scholar]). We also use the theorem of Berry [1941 Berry, A. 1941. The accuracy of the Gaussian approximation to the sum of independent variates. Transactions of the American Mathematical Society, 49(1): 122–36. [Crossref] , [Google Scholar]. The accuracy of the Gaussian approximation to the sum of independent variates. Transactions of the American Mathematical Society 49, no. 1: 122–36] and Esseen [1945 Esseen, C. 1945. Fourier analysis of distribution functions: A mathematical study of the Laplace–Gaussian law. Acta Mathematica, 77(1): 1–125. [Crossref], [Web of Science ®] , [Google Scholar]. Fourier analysis of distribution functions: A mathematical study of the Laplace–Gaussian law. Acta Mathematica 77, no. 1: 1–125] to demonstrate how the distribution of the modified Corrado test statistic developed here asymptotically converges towards the normal distribution. This shows that describing the distributional properties of the sum of the ranks in terms of the normal distribution is highly problematic for small sample sizes and small event windows. In these circumstances, we show that a second-order Edgeworth expansion provides a good approximation to the actual probability distribution of the modified Corrado test statistic. The application of the modified Corrado test developed here is illustrated using data for the purchase and sale by UK directors of shares in their own companies.     

A nonparametric test of the mixture-of-distributions model

Abstract

Intertemporal implications of the mixture-of-distributions hypothesis (MDH) are derived based on the concept of time reversibility in statistical mechanics. The restrictions are tested using simple nonparametric tests that do not impose auxiliary assumptions on the stochastic process for trading volume, price volatility or information arrivals. The tests reject the standard MDH with one latent factor. In particular, shocks to volatility and volume are temporally asymmetric, contrary to the predictions of the MDH. The results indicate that multifactor models are needed to explain the dynamics of the volume–volatility relation.     

A new test for equitable real estate tax assessment

Paglin and Fogarty (1972) proposed a correct conceptual view of equitable property tax assessment, but attempts to find an empirical test of their model have become mired in technical issues. The new empirical test proposed here is based on the notion that the market value of an individual property is essentially unobservable.Empirical results for 52 towns in Connecticut show that the new model (a 2SLS procedure) removes a substantial part of the biases present in other tests. Moreover, the 2SLS procedure provides a method for removing the time trend from sales prices. Thus, sales prices can be adjusted to the date of assessed value allowing evaluation of assessment practices as opposed to assessment lags. This refines previous approaches, and it substantially expands the number of transactions that can be used to evaluate equity in property tax assessment practices.     

A multivariate nonparametric test for return and volatility timing

This paper develops a novel approach to simultaneously test for market timing in stock index returns and volatility. The tests are based on the estimation of a system of regression equations with indicator variables and provide detailed information about the statistical significance of alternative market timing components.     

A test of purchasing power parity for emerging economies

The concept of purchasing power parity (PPP) is examined here for its applicability to the soft currencies of a large group of emerging/developing economies. PPP is tested through the use of the technique of cointegration. Based on data covering the period of 1975–1997, cointegration tests of price indices and exchange rates are conducted for 27 countries (against the U. S.). The results provide relatively strong evidence (for 14 countries) in favor of the long-term applicability of PPP as a cointegration concept. Further tests on real exchange rates indicate that the symmetry and proportionality conditions implied by PPP are rejected in all but one case. The latter tests also show that departures from long-term exchange values can last for several years and that a priori restrictions imposed on the cointegrating vector can lead to a false rejection of the PPP concept.     

A macro stress test model of credit risk for the Brazilian banking sector

This paper proposes a model to conduct macro stress test of credit risk for the banking sector based on scenario analysis. We employ an original bank-level data set that splits bank credit portfolios in 21 granular categories, covering household and corporate loans. The results corroborate the presence of a strong procyclical behavior of credit quality, and show a robust negative relationship between the logistic transformation of non-performing loans (NPLs) and GDP growth, with a lag response of up to three quarters. The results also indicate that the procyclical behavior of loan quality varies across credit types. This is novel in the literature and suggests that banks with larger exposures to highly procyclical credit types and economic sectors would tend to undergo sharper deterioration in the quality of their credit portfolios during an economic downturn. Lack of sufficient portfolio granularity in macro stress testing fails to capture these effects and thus introduces a source of bias that tends to underestimate the tail losses stemming from the riskier banks in a system.     

A test of the firm characteristics hypothesis for LIFO choice of Canadian firms

This paper examines whether characteristics of Canadian firms can explain the observed difference in the use of LIFO for valuing inventory between the U.S. and Canada. Characteristics that help explain the choice between LIFO and FIFO use in the U.S. are used to compare Canadian firms to U.S. LIFO users and FIFO users separately. If Canadian firms are characteristically similar to U.S. FIFO users, then the firm characteristics hypothesis would be supported and LIFO would be infrequently used in Canada because few firms are LIFO-like in their underlying characteristics. Univariate nonparametric tests are used to compare U.S. and Canadian firms in the same industries on both an unmatched and matched basis. The results of this comparison indicate that Canadian average cost firms have more characteristics in common with U.S. LIFO users than FIFO users and Canadian FIFO firms have characteristics like both U.S. FIFO and U.S. LIFO firms. Logit models were estimated using the U.S. firms. These models predict that between three and 28% of Canadian firms would use LIFO. Thus, the firm characteristics explanation for infrequent use of LIFO in Canada is not supported by the data. These results imply that several Canadian firms may use LIFO if the institutional setting in Canada was more like that in the U.S.     

A cross-section test of the present value model

We estimate for a sample of U.S. companies an econometric model of each companies' dividend process. We use this to forecast future dividends, and thereby calculate a theoretical present value for each company. We compare this to the market price and test whether one can earn excess returns by purchasing shares which are undervalued, compared to this theoretical price. We show that portfolios of underpriced shares substantially outperform the full sample.     

The Canadian-US dollar exchange rate: A test of alternative models for the seventies

Three basic models of bilateral exchange-rate determination are evaluated on the basis of the Canadian experience in the 1970s. We examine wealth effects and incorporate consistent expectations in the traditional models. Based on reduced-form equations, empirical results reject a simple monetary approach and the stickly-price asset market model but concur with a version of the stock-flow model of exchange-rate determination.     

A macroeconomic reverse stress test

Reverse stress tests are a relatively new stress test instrument that aims at finding exactly those scenarios that cause a bank to cross the frontier between survival and default. Afterward, the scenario which is most probable has to be identified. This paper sketches a framework for a quantitative reverse stress test for maturity-transforming banks that are exposed to credit and interest rate risk and demonstrates how the model can be calibrated empirically. The main features of the proposed framework are: (1) the necessary steps of a reverse stress test (solving an inversion problem and computing the scenario probabilities) can be performed within one model, (2) scenarios are characterized by realizations of macroeconomic risk factors, (3) principal component analysis helps to reduce the dimensionality of the space of systematic risk factors, (4) due to data limitations, the results of reverse stress tests are exposed to considerable model and estimation risk, which makes numerous robustness checks necessary.     

Manual vs. computerized practice sets: A test for differences

This article reports the results of an experiment comparing the test performance, attitudes and time requirements of two groups of intermediate financial accounting students completing a practice set. The practice set was used at the beginning of the course as an accounting cycle review. One group of students completed a manual practice set; the other completed a nearly identical computerized practice set. Practice set formats were found to have no significant effect on students' test performance and little effect on their attitudes. However, students completing the computerized format did so in significantly less time than students completing the manual format.     

A test of the Investor's Daily stock ranking system

This paper examines the profitability of trading strategies derived from stock rankings published in Investor's Business Daily. The best system provides market-adjusted abnormal monthly returns of 1.81% from buying S&P 500 stocks, and a 3.18% abnormal return on an arbitrage portfolio. Stocks selected for trading have above average volatility, but a portion of abnormal return may be a reward for identifying stocks with short-run sustainable price momentum. Results seem indicative of market inefficiency, but the phenomena may be temporary since abnormal returns are lower during the second half of the data set.     

A valuation-based test of market timing

We implement an earnings-based fundamental valuation model to test the impact of market timing on the firm's method of funding the financing deficit. We argue that our valuation metric provides a superior measure of equity misvaluation because it avoids multiple interpretation problems faced by the market-to-book ratio. It also eliminates the need to infer market timing based on the actions of corporate insiders or other indirect measures. We find a strong positive relation between the degree to which a firm is overvalued and the proportion of the firm's financing deficit that is funded with equity. This result is found cross-sectionally and through time and is robust to firm size, and other variables known to impact capital structure. We find evidence that overvaluation in the 1990s led to equity being increasingly preferred over debt. For a broad set of firms, market timing explains a significant portion of the variation in the type of security used to fund the financing deficit.     

Financial market stability—A test

This paper proposes a definition for financial market stability and an econometric test. It analyzes the impact of systematic and systemic shocks on developed and emerging market stock indices in normal and extreme market conditions. Financial market stability is defined as a constant impact of systematic shocks in normal and extreme market situations. Empirical results show that the impact of systematic shocks is significantly larger in extreme market conditions than in normal conditions for emerging markets. In contrast, the relationship is stable for developed markets. Hence, only developed markets meet an essential condition for financial market stability.     

A test of risk arbitrage profitability

We explore the performance of risk arbitrage involving three types of merger offers: cash tender, stock swap, and collar offers for the period between 1990 and 2000. Our result reveals that risk arbitrage for a successful stock offer generates higher returns than a successful cash offer. This finding implies that the profitability of risk arbitrage depends on the level of asymmetric information associated with the payment method. We also find that the beta of typical risk arbitrage positions/portfolios is heavily influenced by the payment method and market conditions.