The prediction of outstanding loss liabilities for non-life run-off portfolios and the quantification of the prediction error is one of the most important actuarial tasks in non-life insurance. In this paper we consider this prediction problem in a bivariate context. More precisely, we derive...

Economic historians frequently face the challenge of estimation and inference when only a small sample of the relevant data is available. We illustrate solutions to the challenges through a case study analysis of the Uselding and Juba (1973) data. They have only seven observations available to...

In many macroeconomic applications, impulse responses and their (bootstrap) confidence intervals are constructed by estimating a VAR model in levels - thus ignoring uncertainty regarding the true (unknown) cointegration rank. While it is well known that using a wrong cointegration rank leads to...

Consider a random sample from a continuous multivariate distribution function F with copula C. In order to test the null hypothesis that C belongs to a certain parametric family, we construct an under H0 asymptotically distribution-free process that serves as a tests generator. The process is a...

High-beta stocks seem to be an asset pricing mystery involving puzzles that have been intensively discussed in the most recent finance literature (Christoffersen and Simutin, 2017; Moreira and Muir, 2017). This papers derives novel implications for pricing high-beta stocks in the presence of dynamic...

The bootstrap is a popular and useful tool for estimating the asymptotic variance of complicated estimators. Ironically, the fact that the estimators are complicated can make the standard bootstrap computationally burdensome because it requires repeated re-calculation of the estimator. In this...

This paper considers the portfolio problem for high dimensional data when the dimension and size are both large.We analyze the traditional Markowitz mean-variance (MV) portfolio by large dimension matrix theory, and find the spectral distribution of the sample covariance is the main factor to...

The 2008 financial crisis has spurred investors to wonder about adding tail risk hedges to their portfolios. However, the cost of these hedges can often be a deterrent. As a consequence, many financial institutions have tried to develop cost-effective products for investors who wished to protect...

We take a new look at the resampled efficiency technique developed by Michaud (1998) and compare it with the Markowitz mean-variance portfolio construction technique by assessing the performance of three representative portfolios, i.e. the global minimum variance portfolio, the intermediate...

In this paper, a semiparametric single-index model is investigated. The link function is allowed to be unbounded and has unbounded support that answers a pending issue in the literature. Meanwhile, the link function is treated as a point in an infinitely many dimensional function space which...