Showing 1 - 10 of 13
New fast estimation methods stemming from control theory lead to a fresh look at time series, which bears some resemblance to "technical analysis". The results are applied to a typical object of financial engineering, namely the forecast of foreign exchange rates, via a "model-free" setting,...
Persistent link: https://www.econbiz.de/10008791958
We are settling a longstanding quarrel in quantitative finance by proving the existence of trends in financial time series thanks to a theorem due to P. Cartier and Y. Perrin, which is expressed in the language of nonstandard analysis (Integration over finite sets, F. & M. Diener (Eds):...
Persistent link: https://www.econbiz.de/10008792433
distributional assumptions including heteroscedasticity, and does not require the knowledge of the variance of random errors. The …
Persistent link: https://www.econbiz.de/10010821466
the stochastic correlation. Thanks to its flexibility, this model enables a better fit of market data than the Heston …
Persistent link: https://www.econbiz.de/10008793719
small time lag. We provide indicators to measure this phenomenon using tick-by-tick data. Strongly asymmetric cross-correlation …
Persistent link: https://www.econbiz.de/10010618170
We propose a tractable framework for quantifying the impact of fire sales on the volatility and correlations of asset returns in a multi-asset setting. Our results enable to quantify the impact of fire sales on the covariance structure of asset returns and provide a quantitative explanation for...
Persistent link: https://www.econbiz.de/10010548433
The one-year prediction error (one-year MSEP) proposed by Merz and Wüthrich has become a market-standard approach for the assessment of reserve volatilities for Solvency II purposes. However, this approach is declined in a univariate framework. Moreover, Braun proposed a closed-formed...
Persistent link: https://www.econbiz.de/10010899719
In this article, we specify the different approaches followed by the economists and the financial economists in order to use chaos theory. We explain the main difference using this theory with other research domains like the mathematics and the physics. Finally, we present tools necessary for...
Persistent link: https://www.econbiz.de/10010738474
This paper focuses on the use of dynamical chaotic systems in Economics and Finance. In these fields, researchers employ different methods from those taken by mathematicians and physicists. We discuss this point. Then, we present statistical tools and problems which are innovative and can be...
Persistent link: https://www.econbiz.de/10010738625
We investigate some statistical properties of the new k-factor Gegenbauer process with heteroscedastic noises One of the goals of the paper is to give tools which permit to use this model to explain the behaviour of certain data sets in finance and in macroeconomics. Monte Carlo experiments are...
Persistent link: https://www.econbiz.de/10008788958