Results 41 to 50 of about 3,891 (206)
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Cross-Asset Portfolio Modeling: A Comparative Study of Symmetrical and Asymmetric Dynamic Methods
This study aims to develop a dynamic portfolio model based on asset class, precious metals, world oil, and dollar index. This study performs a comparative test between the Dynamics Conditional Correlation (DCC) and Asymmetric Dynamics Conditional ...
Dismas Oktavianto +2 more
doaj +1 more source
Using MGARCH to Estimate Value at Risk [PDF]
In this paper we compared multivariate GARCH models toestimate Value-at-Risk. We used a portfolio of weekly indexesincluding TEDPIX, KLSE, XU100 during ten years. To estimateValue-at-Risk, first we estimated CCC, DCC of Engle, DCC of Tseand Tsui, Dynamic
Mohammad Reza Rostami, Fatemeh Haqiqi
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The Monetary Policy–Commodities Nexus: A Survey
ABSTRACT This survey synthesizes evidence on the bidirectional links between commodity markets and monetary policy. On the commodities‐to‐policy side, we review how shocks to energy, food, and metals pass through to inflation, inflation expectations, economic activity, and financial stability in state‐dependent ways that vary by shock type, exposure ...
Martin T. Bohl +2 more
wiley +1 more source
We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data.
Barunik, Jozef +2 more
core
Establishing the nature of Bitcoin : A DCC-GARCH analysis
Since its start in 2008 up until the date of this study, Bitcoin has steadily gained considerablyin popularity. However, the digital cryptocurrency still seems to be surrounded by asubstantial amount of mystery as to whether it deserves a spot in anyone's portfolio. Manystudies have tried to pin Bitcoin as a safe haven asset to the likes of gold due to
Ekstrand, Amanda, Musial, Mateusz
openaire +1 more source
Changes in the situation that move very quickly on the commodity market have an impact on financial markets, one of which is the stock market in Indonesia.
Yunita Dewi Safitri, Robiyanto Robiyanto
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Systemic risk in the insurance sector: A semi‐parametric approach based on Spearman's rho
Abstract We propose a new method to measure systemic risk in the global insurance sector by analyzing interconnectedness among firms under different market conditions. Using a semi‐parametric approach that relies on the Spearman correlation and copula‐based partial dependence, we assess relationships in relatively stable, extremely bullish, and ...
Leonardo Iania +2 more
wiley +1 more source
Dynamic co-movements of stock market returns, implied volatility and policy uncertainty [PDF]
We examine time-varying correlations among stock market returns, implied volatility and policy uncertainty. Our findings suggest that correlations are indeed time-varying and sensitive to oil demand shocks and US recessions.
Antonakakis, N. +2 more
core +1 more source
ABSTRACT Cryptocurrency markets are known for their wide price fluctuations, lack of central control, and fast‐paced development. These characteristics present serious challenges to traditional theories about how markets work and how prices reflect available information.
Giulia Fantini, Joy Jia, Chiara Oldani
wiley +1 more source

