Mayank Gupta, Amit Pawar, Subrat Kumar Seet, S. Suraj
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引用次数: 0
Abstract
Inflation expectations hold utmost importance in central bank policymaking as they serve as a critical determinant of economic stability and the effectiveness of monetary policy measures. Based on this motivation, this study empirically examines the information content of yield spreads across different time horizons, using a Fisher equation-based model, to explain future changes in inflation. Interestingly, linear specifications fail to capture the relationship between yield spreads and inflation changes. To address this limitation, we employ a threshold model that reveals a significant non-linear association between yield spreads and inflation, particularly over longer time horizons in India. Out of sample forecasting results obtained further confirm that non-linear models are better fit compared to linear models to estimate the future changes in inflation. By embracing a non-linear approach, this study enhances our understanding of the complex dynamics between yield spreads and inflation in India, providing valuable insights for policymakers and economists alike.
期刊介绍:
The Journal of Quantitative Economics (JQEC) is a refereed journal of the Indian Econometric Society (TIES). It solicits quantitative papers with basic or applied research orientation in all sub-fields of Economics that employ rigorous theoretical, empirical and experimental methods. The Journal also encourages Short Papers and Review Articles. Innovative and fundamental papers that focus on various facets of Economics of the Emerging Market and Developing Economies are particularly welcome. With the help of an international Editorial board and carefully selected referees, it aims to minimize the time taken to complete the review process while preserving the quality of the articles published.