Showing 1 - 10 of 14
A Monte Carlo (MC) experiment is conducted to study the forecasting performance of a variety of volatility models under alternative data generating processes (DGPs). The models included in the MC study are the (Fractionally Integrated) Generalized Autoregressive Conditional Heteroskedasticity...
Persistent link: https://www.econbiz.de/10003932329
We study the well-known multiplicative Lognormal cascade process in which the multiplication of Gaussian and Lognormally distributed random variables yields time series with intermittent bursts of activity. Due to the non-stationarity of this process and the combinatorial nature of such a...
Persistent link: https://www.econbiz.de/10009389845
High-frequency financial data are characterized by a set of ubiquitous statistical properties that prevail with surprising uniformity. While these 'stylized facts' have been well-known for decades, attempts at their behavioral explanation have remained scarce. However, recently a new branch of...
Persistent link: https://www.econbiz.de/10003715066
In this paper we consider daily financial data from various sources (stock market indices, foreign exchange rates and bonds) and analyze their multi-scaling properties by estimating the parameters of a Markov-switching multifractal model (MSM) with Lognormal volatility components. In order to...
Persistent link: https://www.econbiz.de/10003715073
Models with heterogeneous interacting agents explain macro phenomena through interactions at the micro level. We propose genetic algorithms as a model for individual expectations to explain aggregate market phenomena. The model explains all stylized facts observed in aggregate price fluctuations...
Persistent link: https://www.econbiz.de/10003777257
Markov chains have experienced a surge of economic interest in the form of behavioral agent-based models that aim at explaining the statistical regularities of financial returns. We review some of the relevant mathematical facts and show how they apply to agent-based herding models, with the...
Persistent link: https://www.econbiz.de/10003932610
theory, which provide a statistical justification for the emergence of power laws as limiting behavior for extreme … fluctuations. The remarkable generality of the theory allows to abstract from the details of the system under investigation, and … therefore allows its application in many diverse fields. Moreover, this theory offers new powerful techniques for the estimation …
Persistent link: https://www.econbiz.de/10008654245
Maximum likelihood estimation of discretely observed diffusion processes is mostly hampered by the lack of a closed form solution of the transient density. It has recently been argued that a most generic remedy to this problem is the numerical solution of the pertinent Fokker-Planck (FP) or...
Persistent link: https://www.econbiz.de/10009570666
The volatility specification of the Markov-switching Multifractal (MSM) model is proposed as an alternative mechanism for realized volatility (RV). We estimate the RV-MSM model via Generalized Method of Moments and perform forecasting by means of best linear forecasts derived via the...
Persistent link: https://www.econbiz.de/10009314521
Banks have become increasingly interconnected via interbank credit and other forms of liabilities. As a consequence of the increased interconnectedness, the failure of one node in the interbank network might constitute a threat to the survival of large parts of the entire system. How important...
Persistent link: https://www.econbiz.de/10010373653