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An application of asymmetric GARCH models on volatility of banks equity in Nigeria’s stock market
Asemota, Omorogbe J.; Ekejiuba, Ucheoma C. - In: CBN journal of applied statistics 8 (2017) 1, pp. 73-99
This paper examines the volatility of banks equity weekly returns for six banks (coded B1 to B6) using GARCH models … in Student’s t-distribution are adjudged the best volatility models for B2 and B3 respectively. The study recommends that … in modelling stock market volatility, variants of GARCH models and alternative error distribution should be considered …
Persistent link: https://www.econbiz.de/10011843494
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The costs of suboptimal dynamic asset allocation : general results and applications to interest rate risk, stock volatility risk, and growth/value tilts
Larsen, Linda Sandris; Munk, Claus - In: Journal of economic dynamics & control 36 (2012) 2, pp. 266-293
Persistent link: https://www.econbiz.de/10009489609
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Interest Rate Risk, Inflation, and the Cross Section of Stock Returns
Park, Heungju; Sohn, Sungbin - 2023
We posit that the pricing mechanism of interest rate risk is contingent upon the prevailing inflation levels; in times of high (low) inflation, a positive (negative) shock to interest rates is indicative of a negative economic state. In line with this proposition, we introduce a conditional...
Persistent link: https://www.econbiz.de/10014344599
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Data-driven jump detection thresholds for application in jump regressions
Davies, Robert; Tauchen, George Eugene - 2015
This paper develops a method to select the threshold in threshold-based jump detection methods. The method is motivated by an analysis of threshold-based jump detection methods in the context of jump-diffusion models. We show that over the range of sampling frequencies a researcher is most...
Persistent link: https://www.econbiz.de/10011524214
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Jump factor models in large cross‐sections
Li, Jia; Todorov, Viktor; Tauchen, George Eugene - In: Quantitative economics : QE ; journal of the … 10 (2019) 2, pp. 419-456
We develop tests for deciding whether a large cross‐section of asset prices obey an exact factor structure at the times of factor jumps. Such jump dependence is implied by standard linear factor models. Our inference is based on a panel of asset returns with asymptotically increasing...
Persistent link: https://www.econbiz.de/10012042424
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Data-driven jump detection thresholds for application in jump regressions
Davies, Robert; Tauchen, George Eugene - In: Econometrics : open access journal 6 (2018) 2, pp. 1-25
This paper develops a method to select the threshold in threshold-based jump detection methods. The method is motivated by an analysis of threshold-based jump detection methods in the context of jump-diffusion models. We show that over the range of sampling frequencies a researcher is most...
Persistent link: https://www.econbiz.de/10011823308
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Dissecting characteristics nonparametrically
Freyberger, Joachim; Neuhierl, Andreas; Weber, Michael - 2018 - This version: July 2018
We propose a nonparametric method to study which characteristics provide incremental information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...
Persistent link: https://www.econbiz.de/10011888693
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Dynamic correlation analysis of spill-over effects of interest rate risk and return on Australian and US financial firms
Akhtaruzzaman, Md.; Shamsuddin, Abul; Easton, Steve - In: Journal of international financial markets, … 31 (2014), pp. 378-396
Persistent link: https://www.econbiz.de/10011299306
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Markov regime-switching autoregressive model of stock market returns in Nigeria
Adejumo, Oluwasegun A.; Albert, Seno; Asemota, Omorogbe J. - In: CBN journal of applied statistics 11 (2020) 2, pp. 65-83
studyanalyzes the stock market volatility in three distinct regimes (accumulation or distri-bution - regime 1; big-move - regime 2 …
Persistent link: https://www.econbiz.de/10012513279
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Interest-Rate Risk Factor and Stock Returns : A Time-Varying Factor-Loadings Model
Huang, Peng - 2018
We extend the Fama–French three-factor model to include a risk factor that proxies for interest-rate risk faced by firms in an attempt to reduce the pricing errors that the three-factor model cannot explain. These pricing errors are observed especially in small size and low book-to-market...
Persistent link: https://www.econbiz.de/10012931064