Realized volatility forecasting: Robustness to measurement errors

In this paper, we suggest how to handle the issue of the heteroskedasticity of measurement errors when specifying dynamic models for the conditional expectation of realized variance. We show that either adding a GARCH correction within an asymmetric extension of the $\mathsf{HAR}$  class ($\mathsf{AHAR}$-$\mathsf{GARCH}$), or working within the class of asymmetric multiplicative error models ($\mathsf{AMEM}$) greatly reduces the need for quarticity/quadratic terms to capture attenuation bias. This feature in $\mathsf{AMEM}$ can be strengthened by considering regime specific dynamics. Model Confidence Sets confirm this robustness both in- and out-of-sample for a panel of 28 big caps and the S&P500 index.     

Board of directors' responsiveness to shareholders: Evidence from shareholder proposals

In recent years boards have become significantly more likely to implement non-binding, majority-vote (MV) shareholder proposals. Using a sample of 620 MV proposals between 1997 and 2004, we find that shareholder pressure (e.g., the voting outcome and the influence of the proponent) and the type of proposals are the main determinants of the implementation decision, while traditional governance indicators do not seem to affect the decision. We then examine the labor market consequences of the implementation decision for outside directors and find that directors implementing MV shareholder proposals experience a one-fifth reduction in the likelihood of losing their board seat as well as other directorships.     

Discussion of “Explicit relative performance evaluation in performance-vested equity grants”

Carter, Ittner and Zechman (2009) examine the use of explicit relative performance evaluation (RPE) conditions in performance-vested equity plans in a sample of United Kingdom (U.K.) firms in 2002. They find that factors suggested by economic theories (for example, removal of common shocks, tournament theory) are more closely associated with specific features of the plan than with the firm-level decision to use an RPE equity plan. My discussion focuses on the interpretation of these findings and the opportunities and implications for future research. I also summarize the views of five U.K. directors who were involved in the design and use of performance-vested equity plans.     

A Bayesian Approach to Improve Estimate at Completion in Earned Value Management

Forecasting represents a core project management process. Estimates at completion in terms of cost and schedule provide essential data and advice to the project team in order to lead and control the project and implement suitable corrective measures. In order to improve the forecasting process, a Bayesian model has been developed within the earned value management framework aiming to calculate a confidence interval for the estimates of both cost and schedule at the completion of the project. The model is based on the integration of data records and qualitative knowledge provided by experts. The model has been tested in an oil and gas project.     

Large time‐varying parameter VARs: A nonparametric approach

In this paper we introduce a nonparametric estimation method for a large Vector Autoregression (VAR) with time‐varying parameters. The estimators and their asymptotic distributions are available in closed form. This makes the method computationally efficient and capable of handling information sets as large as those typically handled by factor models and Factor Augmented VARs. When applied to the problem of forecasting key macroeconomic variables, the method outperforms constant parameter benchmarks and compares well with large (parametric) Bayesian VARs with time‐varying parameters. The tool can also be used for structural analysis. As an example, we study the time‐varying effects of oil price shocks on sectoral U.S. industrial output. According to our results, the increased role of global demand in shaping oil price fluctuations largely explains the diminished recessionary effects of global energy price increases.