by Alireza M. Javid, Björn Löfdahl, Cassie Ye, Mikhail Nechaev, Sina Molavipour
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Suggested foundations for rates and fixed income and financial machine learning. Specialist prerequisites vary by paper.
Understand discounting in a stochastic-rate model.
Translate yield movements into first-order price risk.
Preserve time order and avoid future information in training.
Establish an interpretable baseline before a flexible model.
Build a consistent discount curve.
Study a tractable mean-reverting rate model.
Account for dependence and overlapping observations.
Choose a reproducible strategy, specify the trading rule, and test what remains after costs and estimation uncertainty.