Results 151 to 160 of about 132,901 (169)
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Finance Research Letters
This study proposes a nonlinear spillover framework for precious metals markets by integrating Temporal Convolutional Networks (TCNs) into the Diebold-Yilmaz approach. We simulate shocks to approximate the Generalized Forecast Error Variance Decomposition (GFEVD) without relying on linear restrictions.
Petr Hajek, Josef Novotny
exaly +4 more sources
This study proposes a nonlinear spillover framework for precious metals markets by integrating Temporal Convolutional Networks (TCNs) into the Diebold-Yilmaz approach. We simulate shocks to approximate the Generalized Forecast Error Variance Decomposition (GFEVD) without relying on linear restrictions.
Petr Hajek, Josef Novotny
exaly +4 more sources
How do normalization schemes affect net spillovers? A replication of the Diebold and Yilmaz (2012) study [PDF]
This paper replicates the Diebold and Yilmaz (2012) study on the connectedness ofthe commodity market and three other financial markets: the stock market, the bond market, and the FX market, based on the Generalized Forecast Error Variance Decomposition,
Andrea Cipollini, Silvia Muzzioli
exaly +5 more sources
Acta Oeconomica
Abstract This study examines spillovers between Southeast European (SEE) equities and global and alternative assets and embeds these dynamics into portfolio allocation. Using the Diebold-Yilmaz framework within a TVP-VAR, we trace return spillovers across thirteen markets: SEE indices; developed benchmarks (S&P 500, Euro Stoxx 50);
Gjorgji Gockov
exaly +2 more sources
Abstract This study examines spillovers between Southeast European (SEE) equities and global and alternative assets and embeds these dynamics into portfolio allocation. Using the Diebold-Yilmaz framework within a TVP-VAR, we trace return spillovers across thirteen markets: SEE indices; developed benchmarks (S&P 500, Euro Stoxx 50);
Gjorgji Gockov
exaly +2 more sources
On the past, present, and future of the Diebold–Yilmaz approach to dynamic network connectedness [PDF]
We offer retrospective and prospective assessments of the Diebold-Yilmaz connectedness research program, combined with personal recollections of its development.
Kamil Yilmaz
exaly +1 more source
A Proxy-Free Alternative to the Diebold–Yilmaz Volatility Spillover Index
Diebold and Yilmaz (2009) measure volatility spillovers using externally constructed volatility measures within a VAR framework. However, treating these noisy estimates as observed regressors introduces a generated-regressor problem. Furthermore, external proxies are susceptible to outliers and often unavailable for lower-frequency data, limiting the ...Kyongwook Choi, Namwon Hyung
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This paper examines the transmission of the macroeconomic and financial shocks from the United States to the global commodity markets and Pakistan by using a comprehensive monthly data set for the period January 2007-August 2021. Using the advanced spillover index framework of Diebold and Yilmaz (2012) based on generalized forecast error variance ...
openaire +1 more source
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