207 resultados para STOCK-OPTIONS


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Climate change is already impacting Australia’s oceans. Responses by marine life to both climate variability and change have been documented for low trophic levels, however, responses for Australia’s iconic higher trophic level marine taxa are poorly understood, including for many conservation-dependent seabirds and marine mammals. We report initial results from a national study evaluating impacts an adaptation options. Individual time series and combined analyses show consistent responses to historical climate signals, however, improved monitoring protocols are needed to maximize detection of any climate-related demographic signals. Despite difference in sampling , the development of regional multi-species-indices of environmental change provides robust climate indicators over large regions.

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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.

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The paper studies dynamic currency risk hedging of international stock portfolios using a currency overlay. A dynamic conditional correlation (DCC) multivariate GARCH model is employed to estimate time-varying covariance among stock market returns and currency returns. The conditional covariance is then used in the estimation of risk-minimizing conditional hedge ratios. The study considers seven developed economies over the period January 2002 to April 2010 and estimates daily conditional hedge ratios for portfolios of various stock market combinations. Conditional hedging is shown to dominate traditional static hedging and unconditional hedging in terms of risk reduction both in-sample and out-of-sample, especially during the recent global financial crisis. Conditional hedging also proves to consistently reduce portfolio risk for various levels of foreign investments.

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We apply a Markov switching model to investigate the possibility of an asymmetric causal relationship between the volatility process inferred from the iTraxx CDS options market and the implied volatility from the stock index options market. We find strong evidence that the stock market leads the CDS market and the effect of the implied stock market volatility is more significant during the volatile regime. We also find that a large jump in the stock return, up or down, may indeed be followed by a regime shift.

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Manuscript Type
Empirical
Research Question/Issue
This study examines whether director independence, reputation, and financial expertise are related to management earnings forecast (MEF) activity. In particular, we examine whether such a relationship is moderated by firms’ growth options.
Research Findings/Insights
Using Australian archival data for 1,928 firm-years between 1999 and 2006, we find several board characteristics have a significant positive relationship with: (1) the likelihood of firms issuing MEFs; (2) their specificity; (3) their accuracy; and (4) a negative relationship with their bias. For (1), (2), and (3) we show that these relationships are accentuated for firms with high growth options.
Theoretical/Academic Implications
While the theory of voluntary disclosure suggests firms will disclose information that is favorable to them or their managers, well-governed firms issue informative MEFs that potentially reduce information asymmetries in capital markets. We extend the prior literature by showing that such a relation is enhanced in the presence of information asymmetry and moral hazard associated with growth options.
Practitioner/Policy Implications
Our results have strategic implications for nomination committees by showing that independent directors and those with strong reputations and financial expertise enhance the governance of high growth firms. We also inform the regulatory debate by showing that good corporate governance enhancing disclosure quality is context-specific – it is not a case of “one size fits all”.

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In this paper, we use the common structural break test suggested by Bai et al. (1998) to test for a common structural break in the stock prices of the US, the UK, and Japan. On the basis of the structural break, we divide each country's stock price series into sub-samples and investigate whether or not the structural break had slowed down the growth of stock markets. Our main findings are that when stock markets are modelled in a trivariate sense the common structural break turns out to be 1990:02, with the confidence interval including several episodes, such as the asset price bubble when housing prices and stock prices in Japan reached a peak in 1988/1989, the early 1990s recession in the UK, the business cycle peak of July 1990, the August 1990 Iraqi invasion of Kuwait and the March 1991 business cycle trough. Annual average growth rates suggest that the structural break has slowed down the growth rate of the US, the UK and Japanese stock markets.