In the digital era, the information value of online prices, characterized by weak price stickiness and high sensitivity to economic shocks, deserves more attention. This paper integrates the high-frequency online inflation rate into the dynamic Nelson-Siegel (DNS) model to explore its relationship with the term structure of interest rates. The empirical results show that the weekly online inflation can significantly predict the yield curve, particularly the slope factor, while the monthly official inflation is predicted by yield curve factors. The mechanism analyses indicate that, due to low price stickiness, online inflation is more responsive to short-term economic conditions and better reflects money market liquidity, thereby having predictive power for the yield curve. Specifically, online inflation for non-durable goods and on weekdays shows stronger predictive power for the slope factor. The heterogeneity in price stickiness across these categories explains the varying impacts on the yield curve.

China’s financial prices are informative enough for the PBC to introduce a monetary policy framework centered around interest rates. While bond yields are not fully efficient—reflecting regulation, liquidity, and segmentation—we find they contain considerable information about the state of the economy as well as evidence of an emerging transmission channel: changes in PBC rates influence the structure of Treasury, financial, and corporate bond yield curves, which are then associated with changes in growth and inflation. Coporate spreads are also a leading indicator of growth and inflation. While further liberalization will strengthen both efficiency and transmission, several necessary elements to move towards indirect monetary policy are already in place.

The forecast ability of term structure is tested in this paper with the data of interbank treasury yield curve of Chinabond. The results show that there are positive relationships between term structure and the changes of future macro economy, i.e. GDP, consumption, production and inflation, which is similar with the studies of the developed countries. The term structure can predict the mid-term economic growth well, even considering the effects of monetary policy and another leading indicator. With the regression results, the out-of-sample predictions show a lower and decreasing growth rate in the next two years, implying greater challenges to the policy-makers.

The purpose of this thesis is to provide an exposition of the theories underpinning the term structure of interest rates in relation to empirical literatures; also it aims to address the implications for the shape of the yield curve to with regard to its predictive ability of economy’s future direction.

This article provides a survey on term structure models designed for pricing fixed income securities and their derivatives

Using the daily data of Chinese 7-day repo rates from January 1, 1997 to December 31, 2008, this paper tests a variety of popular spot rate models, including single-factor diffusion, GARCH, Markov regime-switching and jump-diffusion models. We document that Chinese spot rates are subject to both market forces and administrative forces. GARCH, regime-switching and jump-diffusion models capture some important features of the dynamics of Chinese spot rates, but all models under study are overwhelmingly rejected. We further explore possible sources of model misspecification using diagnostic tests.