Machine learning and macro trading strategies

Machine learning can improve macro trading strategies, mainly because it makes them more flexible and adaptable, and generalizes knowledge better than fixed rules or...

The predictive superiority of ensemble methods for CDS spreads

Through 'R' and 'Python' one can apply a wide range of methods for predicting financial market variables. Key concepts include penalized regression, such as...

RECENT ARTICLES

Joint predictability of FX and bond returns

When macroeconomic conditions change rational inattention and cognitive frictions plausibly prevent markets from adjusting expectations for futures interest rates immediately and fully. This is...

The predictive power score

The predictive power score is a summary metric for predictive relations between data series. Like correlation, it is suitable for quick data exploration. Unlike...

Equilibrium theory of Treasury yields

An equilibrium model for U.S. Treasury yields explains how macroeconomic trends and related expectations for future short-term interest rates shape the yield curve. Long-term...

POPULAR ARTICLES