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
Clinician Specialties, Quality Score and Shared Savings Receipt in Accountable Care Organizations. [PDF]
Ouayogodé MH, Liang X.
europepmc +1 more source
Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting
ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang +3 more
wiley +1 more source
Drying kinetics, power consumption, economic and environmental analysis of pomegranate peels drying using a hybrid solar dryer compared with oven dryer. [PDF]
Metwally KA +9 more
europepmc +1 more source
Forecasting House Prices: The Role of Market Interconnectedness
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen +3 more
wiley +1 more source
Anti-yeast IgY antibodies as a novel biological additive to enhance fermentation and preservation of sugarcane silage. [PDF]
G N B +6 more
europepmc +1 more source
The Role of Price‐Volatility Cojumps in Volatility Forecasting
ABSTRACT This paper investigates whether simultaneous jumps in prices and volatility improve volatility forecasting. Using up‐to‐date high‐frequency S&P 500 and VIX data, we identify price‐volatility cojumps at the intraday granularity and construct upside, downside, and asymmetric measures.
Kefu Liao
wiley +1 more source
Promoting Rational Risk Engagement Through Feedback in a Gambling-Analog Learning Environment: A Pilot Study. [PDF]
Cong Y, Wang Z.
europepmc +1 more source
Why Do Hedgers Hedge? The Role of Ambiguity
ABSTRACT This paper investigates whether ambiguity influences hedging behavior in commodity futures markets. Using high‐frequency crude oil futures data, distinct measures of risk and ambiguity are linked to weekly hedging positions from the Commodity Futures Trading Commission (CFTC).
Fiona Höllmann
wiley +1 more source
Hybrid Big Bang-Big crunch with cuckoo search for feature selection in credit card fraud detection. [PDF]
Yajid MSA +8 more
europepmc +1 more source

