The welfare effects of third‐degree price discrimination with nonlinear demand functions

The welfare effects of third‐degree price discrimination are analyzed when demand in one market is an additively shifted version of demand in the other market and both markets are served with uniform pricing. Social welfare is lower with discrimination if the slope of demand is log concave or the convexity of demand is nondecreasing in the price. The demand functions commonly used in models of imperfect competition satisfy at least one of these sufficient conditions.     

The welfare effects of third‐degree price discrimination in intermediate good markets: the case of bargaining

This article examines the welfare effects of third‐degree price discrimination by a monopolist selling to downstream firms with bargaining power. One of the downstream firms (the “chain store”) can integrate backward at lower cost than rivals. Bargaining powers also depend on disagreement profits, bargaining weights, and concession costs. If the chain's integration threat is not credible, price discrimination reduces the input price charged symmetric downstream firms and often reduces the average input price charged asymmetric downstream firms.     

R&D Progress, stock price volatility, and post-announcement drift: An empirical investigation into biotech firms

I investigate the effects of R&D progress on the dynamics of stock price volatility and the post announcement drift to provide insights into whether or not and how capital markets react to corporate R&D progress in the context of the biotech industry. I find both stock price volatility and the post announcement drift decrease in R&D progress. More importantly, the decrease is proportional to the increase in the drug development success rate driven by R&D progress. Findings suggest that R&D progress conveys useful risk-relevant information, and plays an important role in explaining stock price volatility change and market anomalies.     

An empirical investigation of international asset pricing

We investigate several asset pricing models in an internationalsetting. We use data on a large number of assets traded in theUnited States, Japan, the United Kingdom, and France. The modeltogether with the hypothesis of capital market integration implytestable restrictions on multivariate regressions relating assetreturns to various benchmark portfolios. We find that multifactormodels tend to outperform single-index models in both domesticand international forms especially in their ability to explainseasonality in asset returns. We also find that the behaviorof the models is affected by change in the regulatory environmentin international markets.     

An empirical investigation of Yankee stock offerings

This paper examines the operating and investment performance of 100 foreign firms that conduct their initial public offerings (IPOs) in the U.S. (Yankee stock offerings). The uniqueness of these firms is that the U.S. IPOs are their first public equity issue in any market, including the home market. We find significant improvement in the operating performance subsequent to these U.S. IPO events and firms from countries with poor investor protection benefit more. Compared to various benchmarks, unlike the significant underperformance of IPOs documented in many countries, these firms show no significant abnormal long-run stock market performance after 1, 3, or 5 years of seasoning. The findings are consistent with signaling and selective entry hypotheses.     

An empirical investigation of procurement contract structures

This article presents a model of procurement contracting with asymmetric cost information and investigates whether two of the model's predictions are consistent with actual contracts between hospitals and California's Medicaid program. The article first tests for the presence of a fixed-price payment region where Medicaid's payments are independent of hospitals' actual (but unobservable) production costs and then tests whether the size of the fixed-price region depends upon expectations about hospitals' costs. To conduct these tests, the article must first estimate hospitals' "unobservable" costs attributable to Medicaid patients. The article finds evidence of a fixed-price region but cannot confirm that the size of the fixed-price region depends upon expectations about hospitals' costs.     

An empirical investigation of the EOE gold options market

On April 2, 1981, the European Option Exchange introduced the first organized exchange trading of options on spot gold. We study this new market for three months at its inception and in a parallel period a year later via various tests of rational boundary conditions. Additionally, we use call-put parity to infer implied risk free rates (IRFR's). Deviations of the IRFR's from the prevailing risk free rate permit the possibility of arbitrage through positions known as forward and reverse conversions. Our tests are modified to allow for transaction costs to more fully address the question of market efficiency.     

An empirical investigation of calls of non-convertible bonds

This paper examines call behavior of corporate issuers of non-convertible bonds. Evidence from a sample of 102 calls indicates that the market value of the called bonds is usually below the call price at the time of the announcement. The stock price reactions to call announcements are positively related to the direction of the change in leverage. When the call relaxes restrictive covenants, the firm on average pays a larger premium to call debt. The premium is a minimum estimate of the potential opportunity costs of restrictive covenants.     

An empirical investigation of investor expectations in the currency market

Using a new theoretical model of investor expectations in the foreign exchange market, this research finds investor forecasts to be rational. For instance, expectations are not characterized by fat-tailed distributions that might reflect optimistic bubbles and panic. They are also found to rationally predict a correlation between exchange rates and political factors such as modeled “pain” indexes and currency bands. Most importantly, the model detects an ex-ante investor prediction of a small probability of a large currency change that empirically explains ex-post forecasting biases.     

An empirical investigation of the two-factor Brennan-Schwartz term structure model

This paper studies the pricing behaviors of default-free bonds based on the two-factor model by Brennan and Schwartz (1979), where a short-term spot rate and a long-term consol rate are the state variables. The logarithm of these two factors is assumed to follow a linear transformation of an Ornstein-Uhlenbeck process. An exact discrete time model is derived to estimate the parameters in the process. The model prices are then numerically solved. The sensitivity analysis indicates that the long-rate process, especially the long-rate volatility parameter, is important in characterizing the term structure of interest rates.     

On the effects of uncertainty measures on sustainability indices: An empirical investigation in a nonlinear framework

This study investigates the effects of uncertainty measures on the dynamics of sustainability indices across different regions of the globe in the post-crisis period. The analysis is conducted under a multivariate Nonlinear Autoregressive-Distributed Lag (NARDL) framework. The results suggest that besides contributing to the Sustainable Development Goals, sustainability indices may serve as valuable tools to investors, asset managers and other stakeholders to dampen and/or offset the negative impacts of local and global measures of uncertainty, depending on the analyzed region. Other implications and an agenda for future research are also discussed.     

Order flow and volatility: An empirical investigation

We study the relationship between order flow and volatility. To this end we develop a comprehensive framework that simultaneously controls for the effects of macro announcements and order flow on prices and the effect of macro announcements on volatility. Using high-frequency 30-year U.S. Treasury bond futures data, we find a statistically and economically significant relationship between the absolute value of order flow and volatility. Moreover, this relationship is robust, inter alia, to a number of factors including the introduction of liquidity effects, use of data measured over a different frequency, and market conditions.     

Multiscaling and rough volatility: An empirical investigation

Pricing derivatives goes back to the acclaimed Black and Scholes model. However, such a modelling approach is known not to be able to reproduce some of the financial stylised facts, including the dynamics of volatility. In the mathematical finance community, it has therefore emerged a new paradigm, named rough volatility modelling, that represents the volatility dynamics of financial assets as a fractional Brownian motion with Hurst exponent very small, which indeed produces rough paths. At the same time, prices’ time series have been shown to be multiscaling, characterised by different Hurst scaling exponents. This paper assesses the interplay, if present, between price multiscaling and volatility roughness, defined as the (low) Hurst exponent of the volatility process. In particular, we perform extensive simulation experiments by using one of the leading rough volatility models present in the literature, the rough Bergomi model. A real data analysis is also conducted to test if the rough volatility model reproduces the same relationship. We find that the model can reproduce multiscaling features of the prices’ time series when a low value of the Hurst exponent is used, but it fails to reproduce what the real data says. Indeed, we find that the dependency between prices’ multiscaling and the Hurst exponent of the volatility process is diametrically opposite to what we find in real data, namely a negative interplay between the two.     

X-efficiency in Australian banking: An empirical investigation

This paper empirically investigates the x-efficiency (technical and allocative) in Australian banks. A non-parametric method of Data Envelopment Analysis (DEA) has been used to arrive at the efficiency scores. Banks in this sample were found to have low levels of overall efficiency compared with the banks in the European countries and in the US. The results indicate that, as a source of overall inefficiency, the technical component was more important than the allocative component. Thus, the inefficiency in Australian banks can be attributed to wasting of inputs (technical inefficiency) rather than choosing the incorrect input combinations (allocative inefficiency). Domestic banks were found to be more efficient than foreign owned banks. The study has important implications such as guiding the government policy regarding deregulation and mergers. Since the study pinpoints the sources of inefficiency, it would also help banks with strategic planning.     

Accounting data and the credit spread: An empirical investigation

Measures of credit risk based on Merton (1974) rely upon information available in the market prices of securities. Under the Efficient Market Hypothesis market prices should reflect all available information and, hence, make redundant all other information in the analysis of credit risk. This paper examines whether accounting data are fully reflected in the market-based measures of credit risk and therefore has no role in explaining variations in the credit spread on corporate bonds. We use a sample consisting of over 11,000 firm-quarter observations with matched equity, bond and accounting data. The results suggest that equity volatility and Merton's distance-to-default outperform accounting variables in explaining variations in the credit spread. However, accounting variables are incrementally informative in explaining variations in the credit spread when considered in conjunction with market-based measures. Within the set of accounting variables considered, we find that the profitability ratio is by far the most incrementally informative accounting variable.     

An empirical investigation of multiperiod tail risk forecasting models

In the context of multiperiod tail risk (i.e., VaR and ES) forecasting, we provide a new semiparametric risk model constructed based on the forward-looking return moments estimated by the stochastic volatility model with price jumps and the Cornish–Fisher expansion method, denoted by SVJCF. We apply the proposed SVJCF model to make multiperiod ahead tail risk forecasts over multiple forecast horizons for S&P 500 index, individual stocks and other representative financial instruments. The model performance of SVJCF is compared with other classical multiperiod risk forecasting models via various backtesting methods. The empirical results suggest that SVJCF is a valid alternative multiperiod tail risk measurement; in addition, the tail risk generated by the SVJCF model is more stable and thus should be favored by risk managers and regulatory authorities.     

An empirical investigation of analytical procedures using mixture distributions

Analytical procedures are evaluations of account and transaction flow information made by a study of plausible relationships between both accounting and non‐accounting data. This study investigates the performance of Tweedie distributions (which have Gaussian distributions as members) in improving fit of zero‐inflated, non‐negative, kurtotic and multimodal analytical review data. The study found that account valuations are more informative than marginal data in analytical review, that mixture Poisson–Gamma distributions offer better fit than Gaussian distributions, even under assumptions of central limit theorem convergence, and that mixture Poisson–Gamma distributions provide better predictions of future account and transaction volumes and values. Model performance improvement with price versus returns data in this empirical study was substantial: from less than one‐quarter of variance, to almost two‐thirds. Tweedie generalized linear model risk assessments were found to be a magnitude smaller than traditional risk assessments, lending support to market inefficiency and increased risk from idiosyncratic factors. An example with several differing distributions shows that use of mixture distributions instead of point estimation can reduce sample size while retaining the power of the audit tests. The results of this study are increasingly important as accounting datasets are growing exponentially larger over time, requiring well‐defined roles for models, algorithms, data and narrative which can only be achieved with statistical protocols and algorithmic languages.     

An empirical investigation of earnings restatements by Australian firms

From 1970 to 2003, we document earnings restatements for the top 500 Australian firms, examine the characteristics of restating firms, and test whether restatements are value relevant. Of the 195 earnings restatements, 49 per cent decrease prior‐period earnings (negative restatements). Negative restatements are relatively larger than positive restatements. We identify three reasons for earnings restatements; namely, accounting policy changes, revision of estimates, and errors and unknown, and they comprise 49, 40 and 11 per cent of the sample, respectively. Restatement firms have higher growth opportunities and are smaller than non‐restating firms from the same industry. Restatements are generally negatively associated with market and non‐market value.     

An empirical investigation of the loan concentration risk in Latin America

The paper sets out to explore the factors affecting the credit quality of the Latin American region. Specifically, a logit framework is employed based on macroeconomic and financial data to determine the causes of Latin American debt crises in the last two decades. The analysis uses a modification of the default indicator to explicitly incorporate country arrear capacity. A number of domestic and international signals are found to be important in determining earlier as well as recent incidents. Domestic fundamentals, however, bear a much heavier weight than global conditions, implying that policy-makers still enjoy some freedom in preventing crises by monitoring country vulnerability. Furthermore, the study focuses on the out-of-sample classification accuracy of the proposed estimator using various criteria and provides 1-, 2- and 3-year-ahead forecasts for country default probabilities. Predictive performance is satisfactory with a reasonable reduction in accuracy in the out-of-sample period. Nevertheless, the findings indicate an upward bias towards type II errors.     

Policy-induced internal migration: An empirical investigation of the Canadian case

We investigate the influence of public policy on interprovincial migration in Canada using new aggregated migration data for 1974–1996, the longest period studied so far. We consider the consequences of regional variation in a variety of policies, and also investigate the effects of certain extraordinary events in Quebec and in the Atlantic provinces. The results indicate that while the changing bias in the unemployment insurance system may have induced some people to move to the relatively high unemployment Atlantic region, the resulting flows are likely too small to have altered regional unemployment rates. In contrast, political events in Quebec in the 1970's and the closing of the cod fishery in 1992 appear to be associated with large changes in migration patterns. JEL Classification H0 · H7 · J41 · J65 · R23 · R58