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Purpose: This paper examines the volatility of stock return in Dhaka stock exchange, BangladeshMethodology: Using Random Walk model (RW), Autoregressive model (AR), Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, and extensive GARCH model with Normal, and Student...
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This study employs the recently developed Lagrange multiplier-based causality-in-variance test by Hafner and Herwartz (2006), to determine the volatility spillovers between interest rates and stock returns for the US, the euro area, the UK, and Japan. The investigation pays careful attention to...
Persistent link: https://www.econbiz.de/10012101454
We present a two-factor volatility model to study the impact of news arrival and trading volume on stock returns variance. The model can explicitly account for the association between volatility and volume, as well as the persistence in equity variance. Unlike the standard "Mixture of...
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Firstly, we use the Multi-Scale LPPLS Confidence Indicator approach to detectboth positive and negative bubbles at … that, our bubbles indicators,particularly when both positive and negative bubbles are considered simultaneously …
Persistent link: https://www.econbiz.de/10014353907
The primary purpose of the study is to identify and measure the properties of asset bubbles, volatility clustering, and … empirical methods; the LPPL model to identify asset bubbles, the DCC-GARCH model to measure volatility clustering, and the …
Persistent link: https://www.econbiz.de/10012587643