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Three Essays On Large Panel Data Models With Cross-Sectional Dependence, Yonghui Zhang
Three Essays On Large Panel Data Models With Cross-Sectional Dependence, Yonghui Zhang
Dissertations and Theses Collection (Open Access)
My dissertation consists of three essays which contribute new theoretical results to large panel data models with cross-sectional dependence. These essays try to answer or partially answer some prominent questions such as how to detect the presence of cross-sectional dependence and how to capture the latent structure of cross-sectional dependence and estimate parameters efficiently by removing its effects. Chapter 2 introduces a nonparametric test for cross-sectional contemporaneous dependence in large dimensional panel data models based on the squared distance between the pair-wise joint density and the product of the marginals. The test can be applied to either raw observable data …
Three Essays On Mutual Fund Ratings, Wee Seng Ng
Three Essays On Mutual Fund Ratings, Wee Seng Ng
Dissertations and Theses Collection (Open Access)
The incessant growth of the mutual fund industry has made the task of selecting mutual funds an increasingly challenging one. Unsophisticated investors turn to low-cost and readily available ratings to guide their investment decisions. Unsurprisingly, mutual fund ratings are hugely popular and influential. Anecdotal evidence and academic findings both suggest that investors gravitate towards top-rated funds. Rating is a double-edged sword. Although the use of rating simplifies the otherwise onerous job of evaluating mutual fund performance, it can lead to adverse consequences. Investors who invest only in top-rated funds are inadvertently assuming that good ratings indicate good future performance. However, …