The estimation of regression models subject to linear restrictions is a widely applied technique, however, aside from simple examples, the equivalence between the linear restricted case to the reparameterization or substitution case is rarely employed. We derive a general relationship that...

In this paper, the relation of asymmetric conditional volatility to market agents' information perception ability is built and positively tested. Liquidity dry-ups during extreme market conditions, that, due to investors' risk aversion, are more pronounced during negative than positive news...

We provide a test for the specification of a structural model without identifying assumptions. We show the equivalence of several natural formulations of correct specification, which we take as our null hypothesis. From a natural empirical version of the latter, we derive a Kolmogorov-Smirnov...

The paper tests if the theory known as Pecking Order Theory provides empirical explanation for the capital structure of Brazilian firms. According to this theory, the capital structures would result from a hierarchy of financial decisions where internally generated resources would have first...

We show that the parameters of the DCC-GARCH model, proposed by Engle (2001) and by Engle and Sheppard (2001), can be derived from the estimated parameters of a VARMA model of the average conditional correlation process. This makes their estimation much easier

Until recently, since Jobson amp; Korkie (1981) derivations of the asymptotic distribution of the Sharpe ratio that are practically useable for generating confidence intervals or for conducting one- and two-sample hypothesis tests have relied on the restrictive, and now widely refuted,...

With the rising popularity of field experiments in economics, re-randomization schemes have emerged as tools to induce balance in observable variables across treatment groups. However, re-randomization is not fully understood and the methodologies to estimate its effects on the distribution of...

This paper discusses how real-life statistical analysis/inference deviates from ideal environments. More specifically, there often exist models that have equal statistical power as the actual data-generating model, given only limited information and information processing/computation capacity....

This paper investigates the effects of the Sarbanes-Oxley Act (SOX) on CEO compensation, using panel data constructed for the S&P 1500 firms on CEO compensation, financial returns, and reported accounting income. Empirically SOX (i) changes the relationship between a firm's abnormal returns and...

This paper introduces a new identification- and singularity-robust conditional quasi-likelihood ratio (SR-CQLR) test and a new identification- and singularity-robust Anderson and Rubin (1949) (SR-AR) test for linear and nonlinear moment condition models. Both tests are very fast to compute....