In this paper we describe the history of different portfolio construction approaches from a simple Risk Parity approach and its extension Equal Risk Contribution over Markovitz mean-variance to conditional Value-at-Risk and others like minimum Value-at-Risk or Average Drawdown. We implement the...

The paper constructs measures of intra-day realized volatility for 17 European and USA stock indices. We utilize a model-free de-noising method by assembling the realized volatility in sampling frequency selected according to the volatility signature plot which minimizes the micro-structure...

This paper proposes a model for discrete-time hedging based on continuous-time movements in portfolio and foreign currency exchange rate returns. In particular, the vector of optimal currency exposures is shown to be given by the negative realized regression coefficients from a one-period...

We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are assumed to follow multivariate dynamics and are...

Among the most popular techniques for portfolio insurance strategies that are used nowadays, the so-called quot;Constant Proportion Portfolio Insurancequot; (CPPI) allocation simply consists in reallocating the risky part of a portfolio according to the market conditions. This general method...

This paper proposes a robust framework for disentangling undiversifiable common jumps within the realized covariance matrix. Simultaneous jumps detected in our empirical study are strongly related to major financial and economic news, and their occurrence raises correlation and persistence among...

Oil is perceived as a good diversification tool for stock markets. To fully understand this potential, we propose a new empirical methodology that combines generalized autoregressive score copula functions with high frequency data and allows us to capture and forecast the conditional...

The paper studies Swedish stock series using extreme-value theoretical approaches. In a univariate setting support is found for the Frechet family of distributions for minima and maxima. Pairs of return series are found to be asymptotically independent throughout. The results render support for...

In order to improve the dynamic assessment of financial market interdependencies, we develop a new Markov switching approach to multivariate volatility modelling. More specific, we take advantage of the flexible copula multivariate GARCH model of Lee and Long (2009), and allow state dependence...

We propose a novel dynamic approach to forecast the weights of the global minimum variance portfolio (GMVP). The GMVP weights are the population coefficients of a linear regression of a benchmark return on a vector of return differences. This representation enables us to derive a consistent loss...