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Tail dependence between Central and Eastern European and major European stock markets : a copula approach

Dajcman, Silvo - In: Applied economics letters 20 (2013) 16/18, pp. 1567-1573

Persistent link: https://www.econbiz.de/10010221720

Dependence between Croatian and European stock markets : a copula GARCH approach

Dajčman, Silvo - In: Zbornik radova Ekonomskog Fakulteta u Rijeci : časopis … 31 (2013) 2, pp. 209-232

Persistent link: https://www.econbiz.de/10010240939

Uncovering the effect of news signals on daily stock market performance : an econometric analysis

Raza, Shahid; Sun, Baiqing; Kay-Khine, Pwint; Kemal, … - In: International Journal of Financial Studies : open … 11 (2023) 3, pp. 1-25

The stock markets in developing countries are highly responsive to breaking news and events. Our research explores the impact of economic conditions, financial policies, and politics on the KSE-100 index through daily market news signals. Utilizing simple OLS regression and ARCH/GARCH regression...

Persistent link: https://www.econbiz.de/10014419406

Volatility nexus between Stock Market and macroeconomic variables in Bangladesh : an extended GARCH approach

Hasan, Md. Abu; Zaman, Anita - In: Scientific Annals of Economics and Business 64 (2017) 2, pp. 233-243

Persistent link: https://www.econbiz.de/10011865998

Testing the long-memory features in return and volatility of NSE index

Ahamed, Naseem; Kalita, Mamoni; Tiwari, Aviral Kumar - In: Theoretical economics letters 5 (2015) 3, pp. 431-440

Persistent link: https://www.econbiz.de/10011396558

Uusing the symmetric models garch (1.1) and garch-m (1.1) to investigate volatility and persistence for the european and us financial markets

Duță, Violeta - In: Financial studies 22 (2018) 1, pp. 64-86

In this paper, we used the GARCH (1,1) and GARCH-M (1,1) models to investigate volatility and persistence at daily … persistence of volatility, meaning that the conditional volatility tends to revert faster to the long-term mean than the other … statistically significant and positive (thus confirming the hypothesis that an increase in volatility leads an increase in future …

Persistent link: https://www.econbiz.de/10011964941

Volatility forecasting using hybrid GARCH Neural Network models : the case of the Italian stock market

Kartsonakis Mademlis, Dimitrios; Dritsakis, Nikolaos - In: International journal of economics and financial issues … 11 (2021) 1, pp. 49-60

Persistent link: https://www.econbiz.de/10012436893

Investigation of the Greek stock exchange volatility and the impact of foreign markets from 2007 to 2012

Sariannidis, Nikolaos; Papadopoulou, Polyxeni; … - In: International journal of business and economic sciences … 8 (2015) 2, pp. 55-68

volatility. The research also examines the impact of powerful foreign capital markets on the Greek Stock Exchange market, the … seasonality returns (Day-of-the-Week effect) and the volatility structure. Design/methodology/approach - The analysis of data is …-GARCH model demonstrate that the debt crisis and, therefore, its consequences increase the FTSE / ASE 20 index volatility and the …

Persistent link: https://www.econbiz.de/10011433994

Modeling time-varying correlations in volatility between BRICS and commodity markets

Kang, Sang Hoon; McIver, Ron; Yoon, Seong-min - In: Emerging markets finance & trade : a journal of the … 52 (2016) 7/9, pp. 1698-1723

Persistent link: https://www.econbiz.de/10011594437

Analysis of stock returns volatility of oil and natural gas industry using GARCH

Agarwal, Ritika; Barua, Pratim - In: Mudra : journal of finance and accounting 11 (2024) 1, pp. 1-19

Persistent link: https://www.econbiz.de/10015063485