This short note describes some statistical tests and experiments for serial correlations of historical stock prices. More precisely, some parameters calculated via empirical characteristics functions are compared with the same parameters for time series with known degree of correlation

This paper will outline the functionality available in the CovRegpy package for actuarial practitioners, wealth managers, fund managers, and portfolio analysts written in Python 3.7. The major contributions of CovRegpy can be found in the CovRegpy_DCC.py, CovRegpy_IFF.py, CovRegpy_RCR.py,...

In this paper we introduce the Smooth Permanent Surge [SPS] model. The model is an integrated non lineal moving average process with possibly unit roots in the moving average coefficients. The process nests the Stochastic Permanent Break [STOPBREAK] process by Engle and Smith (1999) and in a...

In this article, the Universal Approximation Theorem of Artificial Neural Networks (ANNs) is applied to the SABR stochastic volatility model in order to construct highly efficient representations. Initially, the SABR approximation of Hagan et al. [2002] is considered, then a more accurate...

This paper shows how a simple modi…fication of estimators based on the RandomEffects principle can preserve the consistency and asymptotic efficiency of the methodin panel data despite non-ignorable persistent heterogeneity driven by correlationsbetween the heterogeneity and the regressors. The...

This paper considers a multivariate t version of the Gaussian dynamic conditional correlation(DCC) model proposed by Engle (2002), and suggests the use of devolatized returnscomputed as returns standardized by realized volatilities rather than by GARCH type volatilityestimates. The t-DCC...

In this paper, we measure the impact of a downturn in the automobile industry on thesolvency of 28 large German banks. The choice of the stressed sector is motivated by theimportant role which the automobile industry plays in the German economy, not the leastbecause of its close ties to other...

Credit risk is an important issue in many nance areas, such as the determinationof cost of capital, the valuation of corporate bonds and pricing of credit derivatives.Credit risk has also been a cause and consequence of the current nancial crisis.Thus, methods for measuring credit risk, default...

Financial institutions are faced with the challenge to forecast future credit portfolio losses.It is common practice to focus on portfolio models consisting of a limited set of parameters,such as the probability of default, asset correlation, loss given default or exposure at default.A simple...

A major topic in retail lending is the measurement of the inherent portfolio credit risk. Two importantparameters are default probabilities (PDs) and correlations. Both are considered in theNew Basel Accord. Due to limited empirical evidence on their magnitude, in particular for retailcredit...