Results 41 to 50 of about 6,666 (205)
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
doaj +1 more source
Time-Varying Comovements in Developed and Emerging European Stock Markets: Evidence from Intraday Data [PDF]
We study comovements between three developed (France, Germany, the United Kingdom) and three emerging (the Czech Republic, Hungary and Poland) European stock markets.
Kocenda, Evûen, Égert, Balázs
core
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
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
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
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
The implication of cryptocurrency volatility on five largest African financial system stability
This study examined the interconnectedness and volatility correlation between cryptocurrency and traditional financial markets in the five largest African countries, addressing concerns about potential spillover effects, especially the high volatility ...
Tonuchi E. Joseph +3 more
doaj +1 more source
Exchange Markets and Stock Markets Integration in Latin-America
We analyze the relationship between the exchange markets and the integration process of the Latin American stock markets (MILA), focusing the analysis on two points.
Jorge Andrés Muñoz Mendoza +4 more
doaj +1 more source

