Kris Boudt
Biographic Data
| ID | 4264348 |
|---|---|
| NAME | Kris Boudt |
| GIVEN NAMES | Kris |
| FAMILY NAME | Boudt |
| SIGNATURE | BOUDT K |
| AFFILIATIONS | Ghent University |
| ORCID | 0000-0002-1000-5142 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Estimation of factors using higher-order multi-cumulants in weak factor models
When factors are weak, covariance-based factor analysis methods tend to exhibit poor performance. To address this issue in the case of non-Gaussian data, we propose a new method called Higher-order multi-cumulant Factor Analysis (HFA). HFA estimates factors and factor loadings via the eigenvalue decomposition of the product of a higher-order multi-cumulant matrix and its transpose. We derive the asymptotic properties of HFA under a weak factor mo…
The performance of Chinese real estate firms
The proportion of Chinese listed real estate firms under special treatment (ST) is an important but lagging financial risk indicator for investing in Chinese real estate funds. In this paper, we propose to use media concerns about real estate as an early warning indicator of financial risk. Using regression analysis, we confirm their predictive value for the proportion of ST real estate firms in China. Furthermore, we show the financial value of …
Robust Distribution-Based Winsorization in Composite Indicators Construction
Positive Semidefinite Integrated Covariance Estimation, Factorizations and Asynchronicity
No prominent works on this page.
Positive Semidefinite Integrated Covariance Estimation, Factorizations and Asynchronicity
Robust Distribution-Based Winsorization in Composite Indicators Construction
The performance of Chinese real estate firms
The proportion of Chinese listed real estate firms under special treatment (ST) is an important but lagging financial risk indicator for investing in Chinese real estate funds. In this paper, we propose to use media concerns about real estate as an early warning indicator of financial risk. Using regression analysis, we confirm their predictive value for the proportion of ST real estate firms in China. Furthermore, we show the financial value of …
Estimation of factors using higher-order multi-cumulants in weak factor models
When factors are weak, covariance-based factor analysis methods tend to exhibit poor performance. To address this issue in the case of non-Gaussian data, we propose a new method called Higher-order multi-cumulant Factor Analysis (HFA). HFA estimates factors and factor loadings via the eigenvalue decomposition of the product of a higher-order multi-cumulant matrix and its transpose. We derive the asymptotic properties of HFA under a weak factor mo…
Econometrics (2 works) · Mathematics (2 works) · Portfolio (2 works) · Statistics (2 works) · Advanced Statistical Methods and Models (1 work) · Applied Mathematics (1 work) · Asset (computer security (1 work) · Auditing, Earnings Management, Governance (1 work) · Bayesian Methods and Mixture Models (1 work) · Business (1 work)