[Update: Within four weeks of the original publication of this research report, Risk Magazine reported in its 28th February 2012 issue story titled 'Goodbye VaR? Basel to Consider Other Risk Metrics': "A review of trading book capital rules, due to be launched in March by the Basel Committee on...

HAC estimators are known to produce test statistics that reject too frequently in finite samples. One neglected reason comes from using the OLS residuals when constructing the HAC estimator. If the regression matrix contains high leverage points, such as from outliers, then the OLS residuals...

The paper proposes a new robust estimator for GARCH-type models: the nonlinear iterative least squares (NL-ILS). This estimator is especially useful on specifications where errors have some degree of dependence over time (weak-GARCH) or when the conditional variance is misspecified. I illustrate...

We propose the indirect inference estimator as a consistent method to estimate the parameters of a structural model when the observed series are contaminated by measurement error by considering the noise as a structural feature. We show that the indirect inference estimates are asymptotically...

The equity premium of interest in theoretical models is the extra return investors anticipate when purchasing risky stock instead of risk-free debt. Unfortunately, we do not observe this ex ante premium in the data; we only observe the returns that investors actually receive ex post, after they...

This paper reviews the method of model-fitting via the empirical characteristic function. The advantage of using this procedure is that one can avoid difficulties inherent in calculating or maximizing the likelihood function. Thus it is a desirable estimation method when the maximum likelihood...

Since the empirical characteristic function (ECF) is the Fourier transform of the empirical distribution function, it retains all the information in the sample but can overcome difficulties arising from the likelihood. This paper discusses an estimation method via the ECF for strictly stationary...

English Abstract: Armed with the copula distribution function that describes the asymmetric tail dependence, and the marginal distributions that capture the fat-tailed behavior, we estimate risk measures such as the Value-at-Risk and expected shortfall and evaluate whether those from the...

This paper addresses the moment selection issue of the simulated method of moments, which is an estimation technique commonly applied to analytically intractable agent-based models. To reduce the arbitrariness of the choice of moments, we develop a simple machine learning extension on top of...

A major concern in business valuation is how to derive a beta value that adequately represents the assessment of long-term risk for a company. Against this background Morningstar (2013), Bloomberg and Thomson Reuters recommend adjusting betas estimated for company valuation purposes (using...