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The role of decision support systems in mitigating operational risks in firms is well established. However, there is a lack of investment in decision support systems in emerging markets, even though inadequate operational risk management is a key cause of discouraging external investment. This...
Persistent link: https://www.econbiz.de/10010939785
Volatility modelling has become a significant area of research within Financial Mathematics. Wiener process driven stochastic volatility models have become popular due their consistency with theoretical arguments and empirical observations. However such models lack the ability to take into...
Persistent link: https://www.econbiz.de/10005084332
Regime switching volatility models provide a tractable method of modelling stochastic volatility. Currently the most popular method of regime switching calibration is the Hamilton filter. We propose using the Baum-Welch algorithm, an established technique from Engineering, to calibrate regime...
Persistent link: https://www.econbiz.de/10005084409
The growing significance of climate change and carbon financing means it is becoming increasingly important to generically model energy-based assets in a more theoretically consistent and realistic approach. A fundamental feature is supply-demand imbalances and this is modelled by deterministic...
Persistent link: https://www.econbiz.de/10009352638
This paper reformulates the valuation of interest rate swaps, swap leg payments and swap risk measures, all under stochastic interest rates, as a problem of solving a system of linear equations with random perturbations. A sequence of uniform approximations which solves this system is developed...
Persistent link: https://www.econbiz.de/10010871168
The literature on volatility modelling and option pricing is a large and diverse area due to its importance and applications. This paper provides a review of the most significant volatility models and option pricing methods, beginning with constant volatility models up to stochastic volatility....
Persistent link: https://www.econbiz.de/10010670195
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This paper formed part of a preliminary research report for a risk consultancy and academic research. Stochastic Programming models provide a powerful paradigm for decision making under uncertainty. In these models the uncertainties are represented by a discrete scenario tree and the quality of...
Persistent link: https://www.econbiz.de/10005099042