MGPraxis6,400 papers identified by name

Real-Time Macro Information and Bond Return Predictability: A Weighted Group Deep Learning Approach

Yinghua Fan, Guanhao Feng, András Fülöp, Junye Li·2020

“For non-overlapping excess bond returns, out-of-sample predictability evidence is weak; for overlapping returns, the WGNN has the highest overall out-of-sample R^2, exceeding 7%, among all models, and is the only model performing well across all maturities.”

AssetBonds and creditbonds
StrategyMachine learningnews sentiment
TechniqueFeedforward networklinear factor model
GeographyUS

Also stated: Text and news, out-of-sample test

Missing from abstract: benchmark, costs, multiple testing, universe

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The paper's neighbourhoodMachine learning return prediction by year
■ bonds and credit■ equities■ crypto■ commodities■ other assets201020157This paper202018622026■ bonds and credit■ equities■ crypto■ commodities■ other assets201020157This paper202018622026
The family is counted across the whole universe. Asset, method and authors are counted inside the family.
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