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FEASTS: Radial Distribution of H i Surface Densities Down to 0.01 M⊙ pc−2 of 35 Nearby Galaxies
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The JADES Transient Survey: Discovery and Classification of Supernovae in the JADES Deep Field
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The Secondary Component of the Extremely Low Mass Ratio Massive Binary HD 165246 Revealed by GHOST
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Hybrid Model for Stock Market Volatility
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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Relevance of anxiety in clinical practice of Guillain-Barré syndrome: a cohort study
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Nonstationary Generalised Autoregressive Conditional Heteroskedasticity Modelling for Fitting Higher Order Moments of Financial Series within Moving Time Windows
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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Investors’ Risk Preference Characteristics Based on Different Reference Point
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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Study on Announcement Effect of Stock Repurchase from the Perspective of Configuration Analysis
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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PAY PİYASALARINDA VOLATİLİTE TAHMİNLEMESİ: BORSA İSTANBUL MALİ VE SINAİ ENDEKSLERİ ÜZERİNE BİR UYGULAMA
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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The Impacts of the Infectious Disease Epidemic on the Permanent Volatility of Precious Metal and Crude Oil Futures Markets: A Long-Term Perspective
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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The Possibility or Impossibility of Stock Price Prediction: Evidence from the Petrochemical Industry
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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Cross-Asset Portfolio Modeling: A Comparative Study of Symmetrical and Asymmetric Dynamic Methods
Published 2025-01-01“…The stock-gold portfolios formed by utilizing the DCC and ADCC-GARCH methods outperform those composed of only stock. …”
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Dynamics Between Foreign Portfolio Investment, Stock Price and Financial Development in South Africa: A SVAR Approach
Published 2025-01-01“…This study uses a structural VAR estimation approach and dynamic conditional correlation (DCC GARCH model). The DCC GARCH approach displays time-varying correlations between stock prices, credit given to the private sector as a measure of financial growth, and foreign portfolio investments. …”
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IMPACT OF COVID-19 PANDEMIC ON STOCK PRICE VOLATILITY OF SUB-SECTOR INDICES IN THE NIGERIAN STOCK EXCHANGE
Published 2022-12-01“…The study employed ex-post facto research design to determine the impact of COVID-19 infection rates and COVID-19 death rates on stock price volatility of sub-sector indices in the Nigeria stock exchange market, within the period of 2nd March 2020 to 28th February, 2022. The study employed GARCH and DCC-GARCH and found that COVID-19 pandemic (infection and death rates) had significant effect on the volatility of sub-sector indices in the Nigeria stock market, and that there was significant volatility transmission among the sub-sector indices of the Nigerian stock market during the COVID-19 pandemic period. …”
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A General Result on the Mean Integrated Squared Error of the Hard Thresholding Wavelet Estimator under α-Mixing Dependence
Published 2014-01-01“…Applications are given for two types of inverse problems: the deconvolution density estimation and the density estimation in a GARCH-type model, both improve existing results in this dependent context. …”
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