Cesare Robotti
Biographic Data
| ID | 8920563 |
|---|---|
| NAME | Cesare Robotti |
| GIVEN NAMES | Cesare |
| FAMILY NAME | Robotti |
| SIGNATURE | ROBOTTI C |
| AFFILIATIONS | Federal Reserve Bank of Atlanta |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2012 |
| H-INDEX | 0 |
Further Results on the Limiting Distribution of GMM Sample Moment Conditions
In this article, we examine the limiting behavior of generalized method of moments (GMM) sample moment conditions and point out an important discontinuity that arises in their asymptotic distribution. We show that the part of the scaled sample moment conditions that gives rise to degeneracy in the asymptotic normal distribution is T-consistent and has a nonstandard limiting distribution. We derive the appropriate asymptotic (weighted chi-squared)…
Mimicking Portfolios, Economic Risk Premia, and Tests of Multi-Beta Models
We consider two formulations of the linear factor model (LFM) with nontraded factors. In the first formulation, LFM, risk premia and alphas are estimated by a cross-sectional regression of average returns on betas. In the second formulation, LFM**, the factors are replaced by their projections on the span of excess returns, and risk premia and alphas are estimated by time series regressions. We compare the two formulations and study the small-sam…
No prominent works on this page.
Mimicking Portfolios, Economic Risk Premia, and Tests of Multi-Beta Models
We consider two formulations of the linear factor model (LFM) with nontraded factors. In the first formulation, LFM, risk premia and alphas are estimated by a cross-sectional regression of average returns on betas. In the second formulation, LFM**, the factors are replaced by their projections on the span of excess returns, and risk premia and alphas are estimated by time series regressions. We compare the two formulations and study the small-sam…
Further Results on the Limiting Distribution of GMM Sample Moment Conditions
In this article, we examine the limiting behavior of generalized method of moments (GMM) sample moment conditions and point out an important discontinuity that arises in their asymptotic distribution. We show that the part of the scaled sample moment conditions that gives rise to degeneracy in the asymptotic normal distribution is T-consistent and has a nonstandard limiting distribution. We derive the appropriate asymptotic (weighted chi-squared)…
Econometrics (2 works) · Mathematics (2 works) · Monetary Policy and Economic Impact (2 works) · Statistics (2 works) · Applied Mathematics (1 work) · Asymptotic analysis (1 work) · Asymptotic distribution (1 work) · Computer Science (1 work) · Economics (1 work) · Estimator (1 work)