Results 171 to 180 of about 3,934 (204)

The effects of the COVID-19 pandemic period on stock market return and volatility. Evidence from the Pakistan Stock Exchange.

PLoS One
Wang B, Waris M, Adamiak K, Adnan M, Hamad HA, Bhatti SM.   +5 more
europepmc   +1 more source

Comparative investment analysis between crypto and conventional financial assets amid heightened geopolitical risk. [PDF]

Heliyon
Ullah M, Sohag K, Haddad H.
europepmc   +1 more source

Source tracing and contagion measurement of carbon emission trading price fluctuation in China from the perspective of major emergencies. [PDF]

PLoS One
Wu B, Wang H, Xie B, Xie Z.
europepmc   +1 more source

Nexus of crude oil and clean energy stock indices: Evidence from time-vector-auto-regression in conjunction with conditional-autoregressive-value-at-risk. [PDF]

Heliyon
Trabelsi N, Tiwari AK, Ghallabi F, Khemakhem I.   +3 more
europepmc   +1 more source

Risk and causality Co-movement of Malaysia's stock market with its emerging and OECD trading partners. Evidence from the wavelet approach.

PLoS One
Wang X, Guo H, Waris M, Din BH.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Linear time-varying regression with Copula–DCC–GARCH models for volatility

Economics Letters, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kim, Jong-Min, Jung, Hojin
openaire   +1 more source

Comparison of BEKK GARCH and DCC GARCH Models: An Empirical Study

2010
Modeling volatility and co-volatility of a few zero-coupon bonds is a fundamental element in the field of fix-income risk evaluation. Multivariate GARCH model (MGARCH), an extension of the well-known univariate GARCH, is one of the most useful tools in modeling the co-movement of multivariate time series with time-varying covariance matrix. Grounded on
Yiyu Huang, Wenjing Su, Xiang Li
openaire   +1 more source