Volatility models for stylized facts of high‐frequency financial data

A Minimal Model of Financial Stylized Facts

Financial System Performance and Inflation in Iran: Some Stylized Facts

The mutual relationship between financial development, as a multilateral concept, and inflation, as a key indicator of macro-economy is crucial. In this paper, inflation regimes are identified using Markov-Switching approach, and then the finance-inflation mutual relationship is investigated in post-revolution cabinets in Iran (1982-2017). Our findings suggest that there are mutual co-movements...

Stylized Facts of Return Series, Robust Estimates, and Three Popular Models of Volatility

It is well-established that the …nancial time series display some stylized fatcs such as volatility clustering, high kurtosis, low starting and slow-decaying autocorrelation function and the Talyor e¤ect as well. In order to evaluate volatility models’capacity in capturing such facts, we apply both standard and robust measures of kurtosis and autocorrelation of squares to GARCH, EGARCH and ARSV...

Agent-based Financial Markets: Matching Stylized Facts With Style

Empirical facts from financial data pose some of the most difficult puzzles for equilibrium macroeconomic modeling. Features such as volatility, excess kurtosis, and conditional heteroscedasticity are not easily replicated by any single representative agent model. Most agent-based financial markets are able to match a good subset of these features quite easily. This paper will summarize some of...

Dynamics on/in financial markets: dynamical decoupling and stylized facts

Stylized facts can be regarded as constraints for any modeling attempt of price dynamics on a financial market, in that an empirically reasonable model has to reproduce these stylized facts at least qualitatively. The dynamics of market prices is modeled on a macro-level as the result of the dynamic coupling of two dynamical components. The degree of their dynamical decoupling is shown to have ...