Estimating Term Structure Changes Using Principal Component Analysis in Indian Sovereign Bond Market

This paper analyses the India sovereign yield to find out the principal factors affecting the term structure of interest rate changes. We apply Principal Component Analysis (PCA) on our data consisting of zero coupon interest rates derived from government bond trading using Nelson-Siegel functional form. This decomposition of the yield curve highlights important relationship between identified factors and metrics of the term structure shape. The empirical findings support statistical similarities between the Indian yield curve and term structure studies of major countries

The Spot-Forward Exchange Rate Relation in Indian Foreign Exchange Market An Analysis

Forward exchange rate bias explanation generally falls into two categories – assumption of rational expectation resulting in a risk premium and expectation errors which is systematic. The paper tests the bias in the Indian forward exchange markets using one-month and three month forward contracts. The study finds that the three month contracts have larger prediction errors than the one-month contracts. The also paper finds that the prediction errors have information content which leads to assume the presence of risk premium. The study also finds that risk one-month contracts have lesser variability vis-à-vis the three month contracts