Measuring trend inflation in India

Central to monetary policy is the concept of trend inflation to which actual inflation outcomes are expected to converge after short run fluctuations die out. Accordingly, the inflation target needs to be fixed in alignment with trend inflation to avoid unhinging inflation expectations and flattening the aggregate supply curve or imparting a deflationary bias to the economy. Results from a regime switching model applied to a hybrid New Keynesian Philips curve suggest a steady decline in trend inflation since 2014 to 4.1–4.3 per cent just before COVID-19 struck. This points to maintaining the inflation target at 4 per cent for India.     

Do real estate investors trade on momentum?

Real estate markets are known to be less-than-efficient for many reasons, but what roles short-term trading plays are unclear. Do short-term investors bring additional risk to the market and cause prices to deviate from fundamental values? Based on an extensive dataset of property transactions and a policy shock that substantially raised the cost of short-term trading in Hong Kong, we estimate ‘real estate risk’ with and without short-term trading based on return predictability, return volatility, and price dispersion. Our results show that as short-term investors exit the market, market returns are less predictable and less volatile, while prices are less dispersed cross-sectionally. Consistent with herding models in behavioral finance, the findings suggest that short-term investors are momentum traders who do not enhance price efficiency.     

The dynamic connectedness and hedging opportunities of implied and realized volatility: Evidence from clean energy ETFs

This paper aims to examine dynamic connectedness and hedging opportunities between the realized volatilities of clean energy ETFs and energy implied volatilities through Time-Varying Parameter Vector Autoregression Model (TVP-VAR) and Asymmetric Dynamic Conditional Correlation (ADCC) GARCH models. TVP-VAR analysis results show that dynamic connectedness increases during turbulence periods. We also determine that clean energy ETFs such as PBW, QCLN, SMOG, and TAN are net volatility transmitters. Surprisingly, OVX is a net volatility receiver, especially with the developments after the Paris Agreement in 2016.As a result of the ADCC GARCH analysis, we determine that the conditional correlation between clean energy ETFs and implied volatility ETFs is asymmetric, and negative information shocks increase the conditional correlation. Although OVX is a cheap alternative for hedging long position risks in clean energy ETFs, VXXLE is more effective than OVX in terms of hedging effectiveness. These findings provide insight for individual and institutional investors, and portfolio managers on how negative and positive shocks change the conditional correlation between assets at different levels.     

中国证券市场各类风险对资本成本的影响研究

以2007-2010年我国A股上市公司为样本,用Hanlon改进的剩余收益增长率方法度量资本成本,并在此基础上从微观结构视角分析证券市场中最主要的系统波动性风险、特质波动性风险、流动性风险和信息风险对资本成本的影响。结果发现,随着系统波动性风险、流动性风险以及信息风险这三类传统意义上的系统性风险增大,资本成本也增大;通过投资组合部分分散的特质波动风险则与资本成本的关系不明确。     

人民币汇率收益率及收益波动率长记忆性特征研究

论文利用经典R/S分析法和ARFIMA模型对人民币汇率收益率序列及收益波动率序列的长记忆性进行了研究。结果表明人民币汇率收益率及收益波动率均存在长记忆性,且波动率序列的长记忆性特征明显强于收益率序列。     

The Breakdown of Idiosyncratic Volatility Into Expected and Unexpected Components and Its Effects on Stock Returns in Brazil

Based on studies of idiosyncratic volatility developed in the recent literature, this study analyzes its relation with expected returns through the breakdown of idiosyncratic volatility in the Brazilian stock market and presents evidence of the importance of expected idiosyncratic volatility for asset pricing. We study the impact of the expected and unexpected components of idiosyncratic volatility on the returns of shares listed on the BOVESPA between 2004 and 2011. The results show a strong positive and significant relation between expected idiosyncratic volatility and returns. This evidence is highlighted when we use unexpected idiosyncratic volatility to control for unexpected returns. Additional robustness tests, controlling for size and momentum effects, also have positive and significant coefficients, corroborating previous findings.     

Interest rate option pricing with volatility humps

This paper develops a simple model for pricing interest rate options when the volatility structure of forward rates is humped. Analytical solutions are developed for European claims and efficient algorithms exist for pricing American options. The interest rate claims are priced in the Heath-Jarrow-Morton paradigm, and hence incorporate full information on the term structure. The structure of volatilities is captured without using time varying parameters. As a result, the volatility structure is stationary. It is not possible to have all the above properties hold in a Heath Jarrow Morton model with a single state variable. It is shown that the full dynamics of the term structure is captured by a three state Markovian system. Caplet data is used to establish that the volatility hump is an important feature to capture. This revised version was published online in June 2006 with corrections to the Cover Date.     

The Valuation of Volatility Options

This paper examines the valuation of European- and American-style volatilityoptions based on a general equilibrium stochastic volatility framework.Properties of the optimal exercise region and of the option price areprovided when volatility follows a general diffusion process. Explicitvaluation formulas are derived in four particular cases. Emphasis is placedon the MRLP (mean-reverting in the log) volatility model which has receivedconsiderable empirical support. In this context we examine the propertiesand hedging behavior of volatility options. Unlike American options,European call options on volatility are found to display concavity at highlevels of volatility.     

Similarly traded securities: Greek common vs. preferred stock

This paper examines the price spread between voting (common) and non‐voting (preferred) stocks during the period 1990–95 for a sample of 55 Greek companies. Because in Greece preferred stocks are not essentially different from common stocks, a number of hypotheses were tested to explain the observed differences. The data reveal an average spread of 27.5% for the entire period which, however, varies across years considerably. In cross‐sectional regressions it was found that the volatility of common stock returns, the liquidity of common shares relative to preferred shares, the ownership concentration, and the minimum dividend yield guaranteed to preferred stockholders explain a significant portion of the spread.     

Multivariate GARCH Volatility Across Major Industry Groups of the Stock Exchange of Thailand

This paper examines the volatility on the time-series relations among the returns of industry group indices in the stock exchange of Thailand. Does volatility of the return series in one industry group indices necessarily lead to volatility in other industry group indices among the sample of eight industry groups？ This research will be valuable to investors utilizing a better understand diversification needed to get good returns. Daily data （2,116 days） are used in this paper covering data for the nine-year period from January 5, 2004, to August 31, 2012. Multivariate Generalized Autoregressive Conditional Heteroscedasticity was tested consisted of： （1） Diagonal VEC Model; （2） Baba Engle Kraft Kroner Models （BEKK Models）; （3） Vector Autoregressive Moving Average GARCH Model （VARMA GARCH Model）; and （4） Constant Conditional Correlation Model （CCC Model）. The findings indicated that the major result shows that, volatility in one industry group necessarily lead to volatility in other industry group indices in the opposite way and in the similar way.