Abstract
We examine the term structure of interest rates in India to see if the yield curve can be rationalized based on the ‘expectations hypothesis.’ Although we find evidence of predictability for holding period returns, we reject the null hypothesis that the expectations hypothesis holds for the period under consideration. Contrary to the finding in the US, the volatility of Indian bond returns is consistent with the expectations hypothesis. Returns on long-term bonds are less volatile than those of short-term bonds. The volatility puzzle documented by Shiller on US data is not observed in Indian bond returns.
We thank Ravi Bansal, John Donaldson, an anonymous referee and the editors for their insightful comments and Neeru Mehra for editorial assistance. The usual caveat applies.
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Notes
- 1.
While there is a considerable literature documenting the correlation between economic growth and financial development, Rajan and Zingales (1998) provide convincing evidence on causality.
- 2.
Indian equity markets had their inception in the early 1830s. The first organized exchange—the Native Share and Stock Brokers’ Association (the forerunner of the Bombay Stock Exchange) was established in 1887 making it the oldest in Asia. The market experienced its first crash in 1865. The run up in stock prices prior to the crash was a consequence of the increased demand for Indian cotton precipitated by the disruption of cotton supplies due to the American Civil War.
- 3.
- 4.
The Patil Committee report (2005) and the Rajan Committee report (2008).
- 5.
Both the payoffs and the price are denominated in the numeraire consumption good.
- 6.
Assets that have identical payoffs have identical prices.
- 7.
- 8.
\( m_{s + t,t} = \prod\limits_{k = 0}^{s - t - 1} {m_{t + k + 1,t + k} } \), where \( m_{t + k + 1,t + k} \) is a random variable such that \( P_{t + k} = E[m_{t + k + 1,t + k} \,y_{t + k + 1} |\Phi _{t + k} ] \).
- 9.
A securities market is arbitrage-free if no security is a "free lottery" and any portfolio of securities with a zero payoff has zero price.
- 10.
If markets are incomplete, there will, in general, be multiple processes \( \{ m_{s + t,t} \}_{s = 1}^{\infty } \) such that (1) holds. Not all of them need have a strictly positive support.
- 11.
Households maximize utility given their endowments and security prices and supply equals demand at these security prices.
- 12.
Our definitions below draw on Campbell et al. (1997).
- 13.
In the US, Treasury Inflation Protected Securities (TIPS) debuted in 1997 and research on the real term structure is still in its infancy. See Pflueger and Viceira (2013). India briefly issued inflation indexed bonds in 1997 and again starting in 2013.
- 14.
This is what is commonly done in practice.
- 15.
Backus et al. (1998) provide an excellent introduction to this literature.
- 16.
If bond returns are log normally distributed, it can be shown that the maximum "error" introduced by using one version instead of the other is bounded by \( 2 \times (2^{ - 1} \sigma^{2} ) \); since the standard deviation \( \sigma \) of bond returns is typically a few percentage points, the quantitative effect is small. Technically, the error arises due to Jensen’s inequality (\( E\,\ln (x){ \ne }\ln \,E(x) \) and \( E(1/x) \ne 1/E(x) \)).
- 17.
- 18.
This extension makes the fitted yield curve more flexible.
- 19.
The estimates for this nominal curve are updated daily, and are available from January 1972 on the Federal Reserve Board website.
- 20.
The prices are weighted by the inverse of the duration of the securities. Underlying Treasury security prices in the Gürkaynak, Sack, and Wright estimation are obtained from CRSP (for prices from 1961–1987), and from the Federal Reserve Bank of New York after 1987.
- 21.
For an application of this methodology to other countries see, for example, Jondeau and Ricart (1999).
- 22.
The yield curve is updated daily.
- 23.
Campbell and Shiller (1991) refer to the spread between the current s- and one-period yields as the "perfect foresight" spread.
- 24.
One of the concerns with the Campbell-Shiller regression is that the long yield \( y_{s,t} \) appears on both sides of the regression. Thus, the negative sign may be a result of measurement error. To deal with this, Campbell and Shiller (1991) test the robustness of their results using instrument variables for the long yields.
- 25.
In addition, under the pure expectations hypothesis the intercept term should be zero.
- 26.
For bonds with duration less than 2Â years, in many instances we cannot reject the expectations hypothesis. This is in contrast to the observations in the US.
- 27.
As evidenced by the slope coefficients of the Campbell-Shiller regression being different from 1.
- 28.
As noted by Campbell (1995), going long in bond holdings during periods in which the yield curve is steep, and shorting in periods of a flat yield curve is an investment strategy that has, historically, produced higher than average returns.
- 29.
The long rates are derived using the expectations hypothesis.
- 30.
The authors use the term premia to explain the rejections of the expectations hypothesis.
- 31.
In the Indian context, however, the real term structure of interest rates is not available as inflation indexed bonds have only been recently introduced. Hence expectations about future inflation cannot be inferred from the term structure.
- 32.
Source: RBI’s Handbook of Statistics on the Indian Economy.
- 33.
Since we are using monthly data, there are several qualifications to our exercise. As noted by Gürkaynak et al. (2005), this regression may be subject to the simultaneous equation or omitted variables bias. For example, the change in the RBI’s policy rate may be a response of the rate to the change in asset prices that took place in the previous month. That is, the change in the policy rate is not a surprise. Analysis of the change in daily yields in response to surprise changes in the repo rate is a promising topic for future research.
- 34.
It is possible that the mapping from real short-term to real long-term rates is stable but the risk premium for inflation is time varying.
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Appendix
Appendix
Data Sources
Statistic | Source |
---|---|
Total Internal Marketable Debt | Outstanding central government debt from: Handbook of Statistics on Central Government Debt |
Gross Fiscal Deficit and its Financing | Handbook of Statistics on the Indian Economy, 2013–14 (Table 105). RBI publication |
GDP at Market Prices | Handbook of Statistics on the Indian Economy, various editions. RBI publication |
Ownership patterns of GoI Securities | Handbook of Statistics on Central Government Debt |
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Mehra, R., Sinha, A. (2016). The Term Structure of Interest Rates in India. In: Ghate, C., Kletzer, K. (eds) Monetary Policy in India. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2840-0_8
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