We shortly review three stochastic models of financial markets, namely the geo-metric Brownian motion, the GARCH model and the Heston model. We focus on the statistical properties of the escape time to reach a barrier or a given threshold. We compare the probability density function (PDF) of these models with that obtained from real market data. We point out the limitations and the peculiarities of each model. We report also the PDF of escape times for intraday price returns obtained from real market data. PACS: 89.65.Gh, 05.40.-a, 02.50.-r, 89.75-
An intense research on financial market microstructure is presently in progress. Continuous time ran...
We develop a rational expectations model of financial bubbles and study how the risk-return interpla...
We begin with the outlining the motivation of this research as there are still so many unanswered re...
We study the mean escape time in a market model with stochastic volatility. The process followed by ...
We briefly review the statistical properties of the escape times, or hitting times, for stock price ...
We analyze the hitting time distributions of stock price returns in different time windows, characte...
We analyze the hitting time distributions of stock price returns in different time windows, characte...
Modeling the stock price development as a geometric Brownian motion or, more generally, as a stochas...
In this paper, we partially review probabilistic and time series models in finance. Both discrete an...
The thesis will have two main parts. First, let us start with an example. In finance, the standard v...
An asset whose price exhibits geometric Brownian motion is analysed. The basic Brownian motion model...
Modelling the asset returns distribution has been the focal point of modern finance for almost a cen...
This paper investigates the short-time exchange rate predictability in a developed and in an emergin...
The GARCH (p, q) model is a very interesting stochastic process with widespread applications and a c...
Two well documented empirical regularities in asset markets, leptokurtosis and clustered volatility,...
An intense research on financial market microstructure is presently in progress. Continuous time ran...
We develop a rational expectations model of financial bubbles and study how the risk-return interpla...
We begin with the outlining the motivation of this research as there are still so many unanswered re...
We study the mean escape time in a market model with stochastic volatility. The process followed by ...
We briefly review the statistical properties of the escape times, or hitting times, for stock price ...
We analyze the hitting time distributions of stock price returns in different time windows, characte...
We analyze the hitting time distributions of stock price returns in different time windows, characte...
Modeling the stock price development as a geometric Brownian motion or, more generally, as a stochas...
In this paper, we partially review probabilistic and time series models in finance. Both discrete an...
The thesis will have two main parts. First, let us start with an example. In finance, the standard v...
An asset whose price exhibits geometric Brownian motion is analysed. The basic Brownian motion model...
Modelling the asset returns distribution has been the focal point of modern finance for almost a cen...
This paper investigates the short-time exchange rate predictability in a developed and in an emergin...
The GARCH (p, q) model is a very interesting stochastic process with widespread applications and a c...
Two well documented empirical regularities in asset markets, leptokurtosis and clustered volatility,...
An intense research on financial market microstructure is presently in progress. Continuous time ran...
We develop a rational expectations model of financial bubbles and study how the risk-return interpla...
We begin with the outlining the motivation of this research as there are still so many unanswered re...