This paper proposes volatility and spectral based methods for cluster analysis of stock returns. Using the information about both the estimated parameters in the threshold GARCH (or TGARCH) equation and the periodogram of the squared returns, we compute a distance matrix for the stock returns. Clusters are formed by looking to the hierarchical structure tree (or dendrogram) and the computed pri...

This research article aimed at modeling the variations in the dollar/cedi exchange rate. It examines the applicability of a range of ARCH/GARCH specifications for modeling volatility of the series. The variants considered include the ARMA, GARCH, IGARCH, EGARCH and M-GARCH specifications. The results show that the series was non stationary which resulted from the presence of a unit root in it. ...

This paper focuses on the selection and comparison of alternative non-nested volatility models. We review the traditional in-sample methods commonly applied in the volatility framework, namely diagnostic checking procedures, information criteria, and conditions for the existence of moments and asymptotic theory, as well as the out-of-sample model selection approaches, such as mean squared error...

UNLABELLED The objective of this paper is to verify the hypotheses presented in the literature on the causal relationship between inflation and its uncertainty, for the newest EU countries. To ensure the robustness of the results, in the study four models for inflation uncertainty are estimated in parallel: ARCH (1), GARCH (1,1), EGARCH (1,1,1) and PARCH (1,1,1). The Granger method is used to t...

A new class of fractionally integrated GARCH and EGARCH models for characterizing financial market volatility is discussed. Monte Carlo simulations illustrate the reliability of quasi maximum likelihood estimation methods, standard model selection criteria, and residual-based portmanteau diagnostic tests in this context. New empirical evidence suggests that the apparent long-run dependence in U...

Bu çalışmada, Türkiye’de döviz piyasalarında gözlemlenen aşırı oynaklık Dolar / TL kuru üzerinden analiz edilerek en uygun modeli belirlenmeye çalışılmıştır. Ardından tahmin edilen başarılı model sonucunda elde varyans serisi ile Türkiye Cumhuriyet Merkez Bankası rezerv miktarı arasında anlamlı bir ilişkinin olup olmadığı araştırılmıştır. Ocak 2017 – 2022 tarihleri arası dönemde nominal kurunda...

This paper studies the effect of COVID-19 on volatility Australian stock returns and negative positive news (shocks) by investigating asymmetric nature shocks leverage impact volatility. We employ a generalised autoregressive conditional heteroskedasticity (GARCH) model extend analysis using exponential GARCH (EGARCH) to capture asymmetry allegedly leverage. proxy related health system its econ...

this paper investigates the nature of volatility characteristics of stock returns in the bangladesh stock markets employing daily all share price index return data of dhaka stock exchange (dse) and chittagong stock exchange (cse) from 02 january 1993 to 27 january 2013 and 01 january 2004 to 20 august 2015 respectively.  furthermore, the study explores the adequate volatility model for the stoc...

Abstract The ınvestment decisions of institutional and individual investors in financial markets are largely influenced by market uncertainty volatility the investment instruments. Thus, prediction volatilities prices returns instruments becomes imperative for successful investment. In this study we seek to identify best fit model that can predict return Bitcoin, which is high demand as an tool...