Similar Search Results

Prerequisites for modeling price and return data series for the Bucharest Stock Exchange

Tinca, Andrei - In: Theoretical and applied economics : GAER review 20 (2013) 11, pp. 117-126

Persistent link: https://www.econbiz.de/10010224748

Drawdown measures and return moments

Möller, Philipp M. - In: International journal of theoretical and applied finance 21 (2018) 7, pp. 1-42

Persistent link: https://www.econbiz.de/10011957033

A test for serial dependence using neural networks

Kapetanios, George (contributor) - 2007

Persistent link: https://www.econbiz.de/10003564910

How can long memory in volatility be eliminated in portfolio optimization : an empirical evidence using copulas

Mzoughi, Hela; Mansouri, Fayçal - In: Journal of quantitative economics : official journal of … 11 (2013) 1/2, pp. 1-14

Persistent link: https://www.econbiz.de/10010338365

Nonlinear dynamics of realized minimum-variance hedge ratios : a two-regime self-exciting threshold autoregressive approach

Lai, Yu-Sheng - In: The empirical economics letters : a monthly … 14 (2015) 9, pp. 899-905

Persistent link: https://www.econbiz.de/10011459137

Forecasting realized (co)variances with a block structure Wishart autoregressive model

Bonato, Matteo; Caporin, Massimiliano; Ranaldo, Angelo - 2012 - Current Draft: November 2008

The increased availability of high-frequency data provides new tools for forecasting of variances and covariances between assets. However, recent realized (co)variance models may suffer from a 'curse of dimensionality' problem similar to that of multivariate GARCH specifications. As a result,...

Persistent link: https://www.econbiz.de/10010407673