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This paper studies the nature of volatility spillovers across countries from the per-spective of network theory and by … relying on data of US-listed ETFs. I use a Lasso-related technique to estimate the International Volatility Network (IVN …) where the nodes correspond to large-cap international stock markets while the links account for significant volatility lead …
Persistent link: https://www.econbiz.de/10012868889
This paper studies the nature of volatility spillovers across countries from the perspective of network theory and by … relying on data of US-listed ETFs. I use a Lasso-related technique to estimate the International Volatility Network (IVN …) where the nodes correspond to large-cap international stock markets while the links account for significant volatility lead …
Persistent link: https://www.econbiz.de/10012995260
crises, liquidity variables have a negative influence on the volatility, in contrast to the time period after the outbrake of …
Persistent link: https://www.econbiz.de/10011578147
We construct a network volatility index (NetVIX) via market interconnectedness and volatilities to measure global … market turbulence. The NetVIX multiplicatively decomposes into an average volatility and a network amplifier index. It also … additively decomposes into marginal volatility indices for measuring individual contribution to global turmoil. We apply our …
Persistent link: https://www.econbiz.de/10012823040
which is applied to the identification of volatility shocks via natural timing assumptions. The global shock has homogeneous …
Persistent link: https://www.econbiz.de/10012960732
This study investigated the directional linkages among net foreign portfolio investment volatility, financial deepening … volatility to financial deepening in low income SADC markets. Furthermore, the results indicate a bidirectional causal … portfolio investment volatility and financial deepening in these economies. Conversely, the pairwise test distinctively …
Persistent link: https://www.econbiz.de/10012295146
Measuring bias is important as it helps identify flaws in quantitative forecasting methods or judgmental forecasts. It can, therefore, potentially help improve forecasts. Despite this, bias tends to be under represented in the literature: many studies focus solely on measuring accuracy. Methods...
Persistent link: https://www.econbiz.de/10013314570
Measuring and modeling financial volatility is the key to derivative pricing, asset allocation and risk management … the daily or lower frequency volatility can be obtained by summing over squared high-frequency returns.In turn, this so …-called realized volatility can be used for more accurate model evaluation and description of the dynamic and distributional structure …
Persistent link: https://www.econbiz.de/10003727640
The present article deals with intra-horizon risk in models with jumps. Our general understanding of intra-horizon risk is along the lines of the approach taken in [BRSW04], [Ro08], [BMK09], [BP10], and [LV19]. In particular, we believe that quantifying market risk by strictly relying on...
Persistent link: https://www.econbiz.de/10012179511
This paper presents a methodology to examine the multivariate tail dependence of the implied volatility of equity …-movements of large changes in equity volatility were more likely to occur and responses to extreme shocks became more … tail risk at high data frequency are essential to the robust measurement of systemic risk, which could enhance market …
Persistent link: https://www.econbiz.de/10013089243