Showing 121 - 140 results of 170 for search '"Garching"', query time: 0.04s Refine Results
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    Hybrid Model for Stock Market Volatility by Kofi Agyarko, Nana Kena Frempong, Eric Neebo Wiah

    Published 2023-01-01
    “…To improve on the accuracy of the traditional GARCH-type models, a hybrid model (BSGARCH (1, 1)) that combines the flexibility of B-splines with the GARCH (1, 1) model has been proposed in the study. …”
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    Nonstationary Generalised Autoregressive Conditional Heteroskedasticity Modelling for Fitting Higher Order Moments of Financial Series within Moving Time Windows by Luke De Clerk, Sergey Savel’ev

    Published 2022-01-01
    “…Here, we present a method for a simple GARCH (1,1) model to fit higher order moments for different companies’ stock prices. …”
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  16. 136

    Investors’ Risk Preference Characteristics Based on Different Reference Point by Fenghua Wen, Zhifang He, Xu Gong, Aiming Liu

    Published 2014-01-01
    “…The two factors are introduced as separate explanatory variables into the time-varying GARCH-M (TVRA-GARCH-M) model. Then, we redefine prior losses and gains by selecting different reference point to study investors’ time-varying risk preference. …”
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  17. 137

    Study on Announcement Effect of Stock Repurchase from the Perspective of Configuration Analysis by Hong Bing Wang, Ai Hua Jin, Hai Yun Yu

    Published 2021-01-01
    “…Using the qualitative comparative analysis method and PSO-ICA-GARCH model, we analyze the influencing factors of the stock repurchase announcement market reaction. …”
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  18. 138

    PAY PİYASALARINDA VOLATİLİTE TAHMİNLEMESİ: BORSA İSTANBUL MALİ VE SINAİ ENDEKSLERİ ÜZERİNE BİR UYGULAMA by İlhan Ege, Tuğba Nur Topaloğlu

    Published 2019-12-01
    “…Çalışmanın sonucunda BISTMali endeksi için en uygun tahmin modeli GARCH (1,1), BIST Sınai endeksi içinen uygun tahmin modeli ise APGARCH(1,1) olarak belirlenmiştir. …”
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  19. 139

    The Impacts of the Infectious Disease Epidemic on the Permanent Volatility of Precious Metal and Crude Oil Futures Markets: A Long-Term Perspective by Yue Shang, Xiaodan Chen, Yifeng Zhang, Yu Wei

    Published 2021-01-01
    “…The aim of this paper is to identify the quantitative impacts of the infectious disease pandemic on the permanent volatility of precious metal and crude oil futures from a long-term perspective by using a recently constructed Infectious Disease Equity Market Volatility Tracker (ID-EMV) to capture the epidemic severity and with a novel mixed data sampling GARCH (GARCH-MIDAS) method. Different from the extant literature only focusing on the short-term influences of the COVID-19 epidemic on commodity futures market, this paper shows that the infectious disease pandemic does have significant and positive impacts on the permanent (long-term) volatilities of precious metal and crude oil futures markets lasting for at least up to 12 months. …”
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  20. 140

    The Possibility or Impossibility of Stock Price Prediction: Evidence from the Petrochemical Industry by Masoud Alizadeh Chamazkoti, Mehdi Fathabadi, Mahmod Mahmodzadeh, Saleh Ghavidel Doostkouei

    Published 2024-03-01
    “…In addition, the results of GARCH and exponential GARCH models showed that there is a positive relationship between risk and return for all seven companies. …”
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