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Showing 1 to 6 of 6 for “"Non-normal distribution"”.

  1. Frequentist-Bayesian Hybrid Tests in Semi-parametric and Non-parametric Models with Low/High-Dimensional Covariate

    … a test for the significant differences between non-parametric functions and the second one is to design a test allowing any departure of predictors of high dimensional X from constant. The implementation is also given in construction of the proposal test statistics for both problems. For the …

    vt Repository record for Frequentist-Bayesian Hybrid Tests in Semi-parametric and Non-parametric Models with Low/High-Dimensional Covariate (opens in a new tab)

  2. Natural Time and Crash Risk

    The deviation of financial returns from normal distribution is a well‐documented stylized fact. Nonetheless, finance professionals and investors alike pay attention to these deviations almost only when a crisis erases years’ worth of gains. And despite decades’ worth of literature, the culprit for …

    essex Repository record for Natural Time and Crash Risk (opens in a new tab)

  3. The Impact of Loss Aversion and Market Sentiment on Implied Volatility Skews.

    … within the standard option pricing models. Non-normal distribution functions, leverage effects and non-continuous trading markets which follow a jump diffusion process, can all result in distortions in the implied volatility surface. Furthermore, a limitation of arbitrage due to herding and …

    murcia-diss Repository record for The Impact of Loss Aversion and Market Sentiment on Implied Volatility Skews. (opens in a new tab)

  4. Skew Normal Bayesian Asset Allocation

    … asset allocation problem based on the skew-normal distribution assumption and extends the Bayesian asset allocation model obtained by assuming hidden truncation skew-normal returns. Hidden truncation model provides a flexible family of skewed alternatives to the classical k dimensional …

    claremont Repository record for Skew Normal Bayesian Asset Allocation (opens in a new tab)

  5. Essays on testing spatial models

    … a spatial dynamic panel data (SDPD) model and a nonlinear SAR (NSAR) model. The proposed test is aiming to solve model selection problems. Chapter 1,""Robust LM tests for spatial dynamic panel data models"", introduces robustLM tests for the SDPD model that includes a contemporaneous spatial lag, …

    uiuc Repository record for Essays on testing spatial models (opens in a new tab)