Introduction of electronic trading in index futures : volatility and volume effects

There is continuing debate in the US over full introduction of electronic trading in those index futures contracts that are still traded at the CME via open outcry. Since the late 1990s major international exchanges trading index futures contracts have converted to full electronic trading. Recent empirical studies have focused on effects on bid/ask spreads and related price volatility following these changes. We take a different approach and investigate and test for structural change in conditional volatility and volume effects following the shift to electronic trading in the Australian Share Price Index futures contract. Multiple Switching point GARCH models are employed with the data sampled at 5, 15 and 30-minute intervals from transaction records supplied by the Sydney Futures Exchange. There is significant evidence of structural changes in both the persistence of volatility shocks and simultaneous volume effects following the change to screen trading in this futures market.

Institutions and growth volatility

Recently some studies provided evidence that democratic political institutions generate less volatile growth. These studies, however, do not provide any link between democracy and investment volatility. Here, we focus on the specific channel that links individualistic societies and low growth volatility. We test whether investment volatility and consequently growth volatility are lower in individualistic societies. We construct a two-equation system of investment and income growth volatility, allowing various measures of individualism to influence growth volatility both directly and indirectly. We find that individualism significantly directly and indirectly influences growth volatility negatively.

Volatility decomposition of Australian housing prices

This study examines the volatility pattern of Australian housing prices. The approach for this research was to decompose the conditional volatility of housing prices into a “permanent” component and a “transitory” component via a Component-Generalized Autoregressive Conditional Heteroskedasticity (C-GARCH) model. The results demonstrate that the shock impact on the short-run component (transitory) is much larger than the long-run component (permanent), whereas the persistence of transitory shocks is much less than permanent shocks. Moreover, both permanent and transitory volatility components have different determinants. The results provide important new insights into the volatility pattern of housing prices which has direct implications for investment in housing by owner-occupiers and investors.

Low-frequency volatility of yen interest rate swap market in relation to macroeconomic risk

Using ‘low-frequency’ volatility extracted from aggregate volatility shocks in interest rate swap (hereafter, IRS) market, this paper investigates whether Japanese yen IRS volatility can be explained by macroeconomic risks. The analysis suggests that this low-frequency yen IRS volatility has strong and positive association with most of the macroeconomic risk proxies (e.g., volatility of consumer price index, industrial production volatility, foreign exchange volatility, slope of the term structure and money supply) with the exception of the unemployment rate, which is negatively related to IRS volatility. This finding is fairly consistent with the argument that the greater the macroeconomic risk the greater is the use of derivative instruments to hedge or speculate. The relationship between the macroeconomic risks and IRS volatility varies slightly across the different swap maturities but is robust to alternative volatility specifications. This linkage between swap market and macroeconomy has practical implications since market makers and hedgers use the swap rate as benchmark for pricing long-term interest rates, corporate bonds and various other securities.

Modeling volatility and changes in the swap spread

We investigate the determinants of changes in U.S. interest rate swap spreads using a model that explicitly allows for volatility interactions between swaps of different terms to maturity. Changes in the swap spread are found to be positively related to interest rate volatility, to changes in the default risk premium in the corporate bond market, and to changes in the liquidity premium for government securities. Swap spread changes are negatively related to changes in the level of interest rates and changes in the slope of the term structure. We also find that there is a strong and significant volatility interaction among spreads for swaps of different maturities and that the process for the conditional variance of the spread is highly persistent across all maturities.

Exploring Australian housing supply volatility

This study examines the volatility series of housing supply in Australia. A Generalised Autoregressive Conditional Heteroskedasticity-in-Mean (GARCH-M) model is employed to analyse the volatility series of Australian housing supply over the study period of 1974-2010. The results show the volatility of housing starts is negatively linked to housing starts, suggesting that higher uncertainty does lower housing starts. The results also reveal that the uncertainty of housing starts is also captured by the volatilities of interest rates and construction costs. Therefore policy makers should monitor and attempt to minimise the volatility of housing supply. These steps will enhance housing construction activities and increase the availability of housing supply to potential home buyers.

Implied volatility smiles, option mispricing and net buying pressure : evidence around the global financial crisis

Using the recent global financial crisis as an exogenous setting, we examine the presence and source of implied volatility smile phenomena in Australian S&P ASX 200 index options. We find a pronounced implied volatility smile for index puts in both bull and bear markets and a smile for index calls in the bear but not bull market. Implied volatilities of out-of-the money puts tend to be upwards biased whilst those of calls tend to be downwards biased. We also find that the bias in implied volatilities yields excess returns based on unhedged and delta-neutral trading strategies, suggesting that implied volatilities are related to option mispricing. Net buying pressure from market participants appears to be a source of mispricing in the case of out-of-the-money index puts with excess demand particularly pronounced during the bull period before the global financial crisis unfolded.

Investment and oil price volatility

In this note, we consider the relationship between oil price volatility and firm returns for 560 firms listed on the New York Stock Exchange. Using daily time series data from 2000 to 2008, we find that oil price volatility increases firm returns for the majority of the firms in our sample.

The volume and volatility relation in the Australian stock market

The thesis studies the volume-volatility relation in the Australian Securities Market. It is concluded that the number of trades is the most important variable driving realized volatility. The average trade size is significant but its explanatory power is only trivial. Order imbalance does not drive volatility in the Australian market.