The role of stochastic volatility and return jumps: reproducing volatility and higher moments in the KOSPI 200 returns dynamics

This paper investigates the role of stochastic volatility and return jumps in reproducing the volatility dynamics and the shape characteristics of the Korean Composite Stock Price Index (KOSPI) 200 returns distribution. Using efficient method of moments and reprojection analysis, we find that stochastic volatility models, both with and without return jumps, capture return dynamics surprisingly well. The stochastic volatility model without return jumps, however, cannot fully reproduce the conditional kurtosis implied by the data. Return jumps successfully complement this gap. We also find that return jumps are essential in capturing the volatility smirk effects observed in short-term options.

Managerial discretion and the economic determinants of the disclosed volatility parameter for valuing ESOs

This study investigates the determinants of the expected stock-price volatility assumption that firms use in estimating ESO values and thus option expense. We find that, consistent with the guidance of FAS 123, firms use both historical and implied volatility in deriving the expected volatility parameter. We also find, however, that the importance of each of the two variables in explaining disclosed volatility relates inversely to their values, which results in a reduction in expected volatility and thus option value. This can be interpreted as managers opportunistically use the discretion in estimating expected volatility afforded by FAS 123. Consistent with this, we find that managerial incentives or ability to understate option value play a key role in this behavior. Since discretion in estimating expected volatility is common to both FAS 123 and 123(R), our analysis has important implications for market participants as well as regulators.

Conditional Volatility of Equity Real Estate Investment Trust Returns: A Pre- and Post-1993 Comparison

We examine the dynamic behavior of Equity Real Estate Investment Trust (EREIT) volatility in a GARCH context 1972–2006 using monthly EREIT returns, and comparing volatility performance for “early” Equity REITs 1972–1992 with that of “modern” EREITs 1993–2006. Consistent with findings for conventional firms, we find that EREIT conditional volatility is time-varying, persistent, and predictable. There is a positive relationship between expected return and expected risk in EREIT stocks pre-1993, but the relationship disappears after 1993. We find no evidence that negative shocks affect EREIT volatility differently from positive ones in either time period. Different from reported results for conventional firms, we find that changes in the conditional volatility of fundamental macroeconomic variables have strong explanatory value for future changes in EREIT volatility. Finally, comparing EREIT volatility performance with volatility in the Russell 2000 Index, a proxy for small stocks, we find that EREIT volatility behaves differently from that of small stocks in many respects, indicating that risks in the small stock index cannot effectively proxy for risks in the EREIT market.

Interday and intraday volatility: Additional evidence from the Shanghai Stock Exchange

After examining both the interday and intraday return volatility of the Shanghai Composite Stock Index, it was found that the open-to-open return variance is consistently greater than the close-to-close variance. Examining the volatility of interday returns and variance ratio tests with five-minute intervals reveals an L-shaped pattern, or more precisely, two L-shaped patterns, starting with a small hump during both the morning and the afternoon sessions, with the morning session having a much higher interday volatility than the afternoon session. This L-shaped interday volatility is supported by the similarly shaped intraday volatility pattern. This result suggests that the high volatility of intraday returns for the market open is not entirely due to the trading mechanisms (call auction in the market opening) but also due to both the accumulated overnight information and the trading halt effect. The five-minute breaks after the auction and blind auction procedures are the two major driving forces which exaggerate the high intraday volatility observed at the market open.

Is the January effect still alive in the futures markets?

The January effect concerns the fact that small capitalization stocks have historically outperformed large capitalized stocks in January. We analyze evidence as to whether this anomaly can be exploited in the futures markets as a speculative investment or to add risk-adjusted value to portfolio performance. We find that the January effect is still alive in the futures markets on the Value Line minus S&P 500 spread trade, but that the marginal liquidity of the Value Line stock index futures contract has made it very risky to exploit the effect. Historically from 1982/3 to 2004/5, the trade has been profitable. This anomaly was also exploitable through a Russell 2000 minus S&P 500 spread trade from 1993/4 to 2004/5.

The Greenspan years: an analysis of the magnitude and speed of the equity market response to FOMC announcements

We examine the impact of monetary policy on the S&P 500 using intraday data. The analysis shows an economically and statistically significant relationship between S&P 500 intraday returns and changes in the Fed funds target rate. The significance and magnitude of the response is dependent on whether the change was expected or unexpected. An expected change in the Fed funds target rate has no impact on prices in the broad equity market; however, an unexpected change of 25 basis points in the Fed funds target rate results in an approximate 48 basis points decline in the broad equity market’s return. The speed of these market reactions is rapid with the equity market reaching a new equilibrium within 15 minutes.

The impact of monetary policy surprises on asset return volatility: the case of Germany

This paper investigates the impact of monetary policy surprises by the FED or Bundesbank/ECB on the return volatility of German stocks and bonds using a GARCH-M model. We show that stock return volatility is susceptible to monetary policy surprises in the United States, whereas monetary policy surprises in the Euro zone matter for bond return volatility. These findings are robust for other Euro zone stock markets, but not significant for other Euro zone bond markets. The empirical evidence also suggests that monetary policy surprises have larger effects on German stock return volatility in bear markets than in bull phases. Moreover, our results support the claim that stock return volatility can be negatively correlated with stock returns, contradicting predictions made by many asset pricing models (e.g., CAPM or ICAPM) and the empirical finding of an insignificant relationship often reported in the literature.

The dynamics in the spot,futures, and call options with basis asymmetries: an intraday analysis in a generalized multivariate GARCH-M MSKST framework

The main purpose of the study is to explore the dynamic relationship among the TAIEX spot, futures, and options markets by proposing an innovative multivariable GARCH-M MSKST (Multivariate Skewed-Student distribution) model. In addition to the considerable feedback effects of these three markets in terms of return transmissions, a significant bidirectional relationship is also found in volatility transmissions between futures and spot markets, and unidirectional spillover occurs from futures to options markets. Specifically, futures are found to exert the most influence on spot and options, and play an important role in disclosing information and pricing discovery to the other two markets. Comparing the magnitude of the effect the positive and negative basis has on spot prices, it is evident that positive basis has a greater impact on the spot market than negative basis does. Of interest, our study shows that positive basis has even more effect than negative basis does on the conditional variance of return on spot and futures.

Not all call auctions are created equal: evidence from Hong Kong

On 25 March 2002, the Hong Kong Exchanges and Clearing Ltd (HKEx) introduced an opening call auction. This trading mechanism is designed to facilitate price discovery in the presence of asymmetric information at the market open, increasing opening price efficiency. The design of the HKEx differs significantly from opening auctions in other markets. Contrary to previous research, the results indicate a decrease in market quality following the introduction of the opening call auction. This decline is largest in the less actively traded stocks.

The capital market implications of the frequency of interim financial reporting: an international analysis

This study examines empirically the extent to which the frequency of interim financial reporting affects stock price volatility over the course of the fiscal year in four countries with different interim reporting regimes: the United States and Canada with quarterly reporting, and Great Britain and Australia with semi-annual interim reporting. It is hypothesized that, in the tradeoff between timeliness and predictive value of the interim reports, semi-annual interim reporting will lead to lesser price volatility after accounting for other potential influences. These expectations are supported in the results found. Moreover, additional tests conducted on American ADRs of British and Australian companies show that those firms have higher volatility than comparable purely domestic firms on their home stock exchanges.

The impact of H-share derivatives on the underlying equity market

We conjecture that an introduction of the Hong Kong Hang Seng Chinese Enterprise Stock Index (H-share Index) futures induces additional speculating activities in the underlying equities, leading to an increase in volatility and volume of the underlying stocks. Whereas, a subsequent introduction of H-share index options increases the level of informed trading and opens up opportunities for speculative and arbitrage activities using futures directly against options. These futures and options trading activities are much cheaper and more efficient than using the underlying stocks, leading to a significant decline in spot market volatility and volume. Our results are consistent with these arguments. We also find that derivative trading does not change the liquidity of H-share constituent stocks. Further tests based on the difference-in-difference approach confirm that the above findings are robust.

Developing a House Price Index for The Netherlands: A Practical Application of Weighted Repeat Sales

This paper describes the development of a house price index that has been introduced in May 2005 in The Netherlands. This monthly index, called Woningwaarde Index Kadaster (House Price Index Kadaster), is designed to detect changes in the price of the overall stock of owner-occupied homes. Fifty-five indices are calculated: one overall index, four regional indices, 12 provincial indices and 38 indices based on combinations of region/province and dwelling type. We used Case and Shiller’s geometric Weighted Repeat Sales Model to calculate monthly house price indices. We used recorded data on the sales of over 500,000 owner-occupied homes in The Netherlands, all representing repeat sales between January 1993 and December 2006. The accuracy of the index was determined using the 95% confidence interval. We observed that accuracy might become a problem in smaller sub samples. Revision volatility was explored by comparing the index values computed from all available data until December 2005 with the index values computed from the data available until December 2006. Our analysis showed that revision volatility does not seem to be a major problem to the index. We also explored heteroskedasticity in the Repeat Sales method but did not find conclusive evidence for the proposed heteroskedasticity. Given our target (a geometric mean index value) and the characteristics of the dataset (very large but without property characteristics) the Repeat Sales Method seems to be adequate for calculating a house price index for The Netherlands.

Evidence of feedback trading with Markov switching regimes

Previous research has concluded that the degree of return autocorrelation observed in index returns varies linearly with the volatility of the series, and that feedback traders are at least partly responsible for this phenomenon. Using daily Australian bond and equity market returns, we test this conclusion directly by using a Markov switching model for changing variance that explicitly allows the autocorrelation of returns to vary with the volatility regime. We find evidence that a significant proportion of investors in both the Australian equity and bond markets are positive feedback traders and are responsible for the observed increase in negative autocorrelation in index returns during periods of high and increasing volatility.

The Impact of Rating Agency Reputation on Local Government Bond Yields

This study examines a sample of 12,562 dual-rated local government bond issues including 6,104 split-rated issues to determine which rating agency has the greatest impact on yields. Using a database of municipal bond issues from 1986 to 2002, we show that Moody’s rated significantly more issues than S&P, and that Moody’s ratings were more conservative. However, from 1993 to 1997, there was a reduction in ratings disagreements and in Moody’s market share. Beginning in 1995, Moody’s received negative publicity related to a Department of Justice anti-trust investigation. Moody’s appears to have responded by sharply increasing their relative conservatism in 1997. From 1986 to 1994, Moody’s ratings had a greater impact on bond yields than S&P ratings, but their dominant influence on yields disappears in the recent sample period from 1995 to 2002.

Value relevance of value-at-risk disclosure

The SEC issued FRR No. 48 in 1997 to enhance public disclosure of firms’ exposures to market risk. We examine whether the quantitative value-at-risk (VAR) estimates disclosed by 81 non-financial firms during the period 1997–2002 are value-relevant using the earnings-returns relation. The empirical results indicate that high VAR is associated with weaker earnings-returns relation. Further analysis shows that VAR is positively and significantly associated with future stock return volatility. Our evidence suggests that investors perceive the earnings of firms with substantial market risk exposure to be less persistent, and adjust the future abnormal earnings for the higher risk exposure. Thus, this results in a lower expected rate of return.

Volatility Transmission in the Real Estate Spot and Forward Markets

How shocks in one market influence the returns and volatility of other markets has been an important question for portfolio managers. In the finance literature, many studies found evidence of volatility spillovers across international markets, as well as between spot and futures markets. Although real estate is often regarded as a good vehicle for diversification, the dynamics of its volatility transmission have been largely ignored. This paper provides the first study to examine volatility spillovers between the spot and forward (pre-sale) index returns of the Hong Kong real estate market through a bivariate GARCH model. Transaction-based indices were used so that our volatility modelling was free from any smoothing problem. Our results showed that real estate returns exhibited volatility clustering, and the volatility of the forward market was more sensitive to shocks than the spot market. Moreover, volatility was mainly transmitted from the forward market to the spot market, but not vice versa.

Market Segmentation Effects in Corporate Credit Rating Changes: The Case of Emerging Markets

We examine stock market reactions to corporate credit rating changes in 26 emerging market countries included in the Morgan Stanley Capital International (MSCI) Emerging Market Index. We hypothesize and test the notion that emerging market firms in the American Depository Receipts (ADRs) markets are more likely to purchase ratings from the Big Two (Moody’s and S&P), and that they react more strongly to the announcements of corporate rating changes by Moody’s or S&P than to those of raters in local markets. We compare the effect of credit rating changes of the Big Two in two emerging stock markets: local markets (local currencies) and ADR markets (U.S. dollars). We find significant price reactions in the ADR markets, and insignificant reactions in local markets, and conclude that there is capital market segmentation in ADR markets for credit rating changes of emerging market firms. We find evidence that investors react more strongly in the ADR markets than local markets because they require higher costs of capital for firms cross-listed both in the ADR markets and local markets due to greater expected bankruptcy costs and foreign exchange risks of those firms. We also report that stock markets react significantly, not only to rating downgrades, but also to upgrades in the ADR markets.

Pricing volatility of stock returns with volatile and persistent components

This paper introduces a two-component volatility model based on first moments of both components to describe the dynamics of speculative return volatility. The two components capture the volatile and the persistent part of volatility, respectively. The model is applied to 10 Asia-Pacific stock markets. Their in-mean effects on returns are tested. The empirical results show that the persistent component is much more important for the volatility dynamic process than is the volatile component. However, the volatile component is found to be a significant pricing factor of asset returns for most markets. A positive or risk-premium effect exists between the return and the volatile component, yet the persistent component is not significantly priced for the return dynamic process.

Idiosyncratic Risk and REIT Returns

The volatility of a stock returns can be decomposed into market and firm-specific volatility, with the former commonly known as systematic risk and the later as idiosyncratic risk. This study examines the relevance of idiosyncratic risk in explaining the monthly cross-sectional returns of REIT stocks. Contrary to the CAPM theory, a significant positive relationship is found between idiosyncratic volatility and the cross-sectional returns. This suggests that firm-specific risk matters in REIT pricing. The regression results further show that once idiosyncratic risk is controlled for in the asset-pricing model, the size and book-to-market equity ratio factors ceased to be significant. The explanatory power of the momentum effect remains robust in the presence of idiosyncratic risk.

Transaction Costs and Price Volatility: New Evidence from the Tokyo Stock Exchange

We investigate the volatility impacts of the full commission deregulation in Japan in October 1999, and find that the deregulation overall tends to significantly increase price volatility in the Japanese equity market, using alternative model specifications and control variables. This finding contrasts with previous evidence that implies a positive relation between transaction costs and price volatility, while consistent from the converse with the hypothesis proposed by Stiglitz (1989) and Summers and Summers (1989). Our results suggest that imposing higher transaction costs might still be a feasible policy tool for stabilizing the market by curbing short-term noise trading.