Download PDF Introduction Principal component analysis is widely used for explaining and hedging in the interest rates markets due to its construction based on orthogonality which pairs well with the multicollinearity prevalent in rates. Its explanatory power is able to consistently explain over 95% of the variance in yield curve Read more…
Download PDF Introduction PCA (principal component analysis) allows you to explain a system’s total variance through a number of orthogonal components, thus, independent between each other. The main PCs account for most of the variance of the system and represent the main factors that influence variability. In a trading environment, Read more…
Download PDF Abstract While the literature investigating risk premia driving the cross section of stock returns is extensive, fewer studies analyze corporate bond returns. We set out to understand which factors and firm characteristics command a premium in terms of expected returns on corporate bonds, both in the investment grade Read more…