Results 41 to 50 of about 3,891 (206)

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

open access: yesJournal of Forecasting, EarlyView.
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

open access: yesMedia Ekonomi dan Manajemen
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]

open access: yesتحقیقات مالی, 2013
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
doaj   +1 more source

The Monetary Policy–Commodities Nexus: A Survey

open access: yesJournal of Economic Surveys, EarlyView.
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

Gold, Oil, and Stocks [PDF]

open access: yes, 2014
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

open access: yes, 2022
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

Korelasi Dinamis Antara Pergerakan Harga Minyak Dunia dan Indeks Harga Saham Sektoral di Bursa Efek Indonesia

open access: yesJurnal Ekonomi Bisnis dan Kewirausahaan (JEBIK), 2020
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
doaj   +1 more source

Systemic risk in the insurance sector: A semi‐parametric approach based on Spearman's rho

open access: yesRisk Management and Insurance Review, EarlyView.
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]

open access: yes, 2013
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

Informational Efficiency in Cryptocurrency Markets: A Bibliometric and Thematic Literature Review (2015–2024)

open access: yesJournal of Economic Surveys, Volume 40, Issue 1, Page 443-468, February 2026.
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

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