Results 111 to 120 of about 10,202,946 (277)

MARS‐Diff: Guarded Residual Diffusion for Leakage‐Disciplined Probabilistic Portfolio‐Loss Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper develops Masked Asset–Regime Scenario Diffusion (MARS‐Diff), a leakage‐disciplined framework for probabilistic forecasting of multiday portfolio losses. The framework combines a regularized heterogeneous autoregressive model with exogenous predictors (HAR‐X) as its anchor, a train‐only masked representation of a high‐dimensional ...
Çağlar Sözen, Mervenur Sözen
wiley   +1 more source

Connectedness Analysis And Investment Strategy Between Stablecoins And International Stock Indices

open access: yesJurnal Manajemen
This research analyzes the dynamic connectedness between fiat-based stablecoins represented by USDC, USDP, and USDT, and gold-based stablecoins represented by DGX  and GLC  with indices international stocks represented by S&P500, STOXX50, Nikkei225 ...
Ika Maradjabessy, Zaafri Ananto Husodo
doaj   +1 more source

Outliers in Garch models and the estimation of risk measures [PDF]

open access: yes
In this paper we focus on the impact of additive level outliers on the calculation of risk measures, such as minimum capital risk requirements, and compare four alternatives of reducing these measures' estimation biases. The first three proposals proceed
Aurea Grané, Helena Veiga
core  

The Role of Variance Risk Premium in Derivative Pricing: Modeling, Estimation and Impact

open access: yesJournal of Futures Markets, EarlyView.
ABSTRACT This paper estimates a model where variance risk premiums (VRP) is not fully explained by equity risk premiums (ERP). This separation can be detected thanks to a new breed of GARCH models with enough innovations to disconnect returns from variances. This type of risk‐neutralization is compatible with continuous‐time settings.
Marcos Escobar‐Anel   +2 more
wiley   +1 more source

Garch Parameter Estimation Using High-Frequency Data [PDF]

open access: yes
Estimation of the parameters of Garch models for financial data is typically based on daily close-to-close returns. This paper shows that the efficiency of the parameter estimators may be greatly improved by using volatility proxies based on intraday ...
Visser, Marcel P.
core  

Brexit and Its Impact on EU Financial Markets

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT We investigate the impact of Brexit on volatility spillovers across the EU countries. We introduce a Brexit intensity measure that assigns an intensity score reflective of the financial markets' reaction to the events that occurred as Brexit negotiations began to unfold.
Marwan Izzeldin   +3 more
wiley   +1 more source

Risk Transmission and Co‐Movements Between Financial Markets and Commodity Markets in the COVID‐19 Period

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT This study examines risk transmission and co‐movements between financial markets (G7 countries and China) and commodity markets (gold and oil) during the COVID‐19 crisis. Daily closing prices for major equity indices (CAC40, CSI300, DAX30, FTSE100, MIB, NIKKEI, TSX and S&P500) and futures prices for gold, brent and WTI were analysed using DCC ...
V. Moutinho   +3 more
wiley   +1 more source

VOLATILITAS HARGA KOMODITAS TIMAH

open access: yesMIX: Jurnal Ilmiah Manajemen, 2016
. The aim of this research is to analyse the factors which influence the price volatility of tin commodity. Monthly basis data were collected from 1990 to 2015. We employed ARCH-GARCH models and verified by interview with tin expert.
Adis Imam Munandar   +3 more
doaj  

The Relationship Among Climate Policy Uncertainty and Energy Markets: Fossil Versus Renewable and Low‐Carbon Assets

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT This paper investigates the intricate relationship between climate policy uncertainty (CPU) and energy market dynamics, focusing on fossil‐based and renewable/low‐carbon energy assets. Utilising a comprehensive dataset spanning from April 1987 to December 2023, comprising monthly observations of CPU, stock market returns, spot oil prices and ...
Dimitrios Asteriou, Anastasia Dimiski
wiley   +1 more source

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