Working Papers
An Optimal Investment Problem with Randomly Terminating Income,
The Early Exercise Premium for the American Put under Discrete Dividends,
Goettsche, O. and Vellekoop, M.H. (2008). Accepted for publication in Mathematical Finance.
 
A Risk Reserve Model for Hedging in Incomplete Markets,
Minina, V. and Vellekoop, M.H. (2008). (Submitted)
 
The Early Exercise Premium for American Put Options on Stocks with Dividends,
Vellekoop, M.H. and Nieuwenhuis, J.W.
 
A Tree-based Method to price American Options in the Heston Model,
Vellekoop, M.H. and Nieuwenhuis, J.W. (2008). Accepted for publication in Journal of Computational Finance.
 
Cash Dividends and Futures Prices on Discontinuous Filtrations,
Vellekoop, M.H. and Nieuwenhuis, J.W., Technical Report 1838, University of Twente, presented at Advances in Mathematics of Finance, Second General AMaMeF Conference, Bedlowo (2007). (Submitted)
 
The Structure of Bias in Peer Voting Systems: Lessons from the Eurovision Song
Contest,
Spierdijk, L. and Vellekoop, M.H. (2006). Accepted for publication in Empirical Economics.
Modelling of Tradeable Securities with Dividends
Vellekoop, M.H. and Nieuwenhuis, J.W., Quantitative Finance 7(5), pp. 563-573 (2007). Efficient Pricing of Derivatives on Assets with Discrete Dividends,
Pricing and Hedging Guaranteed Returns on Mix Funds,
Weak Convergence of Tree Methods to price Options on Defaultable Assets,
Symmetries in Jump-Diffusion models with Applications in Option Pricing
and Credit Risk,
Pricing and Hedging Options on Defaultable Assets,
Contingent Claims on Defaultable Assets: A Trinomial Tree method ,
Optimal Speed of Detection in generalized Wiener disorder Problems,
A
Nonlinear FIltering Approach to Changepoint Detection Problems: Direct
and Differential-Geometric Methods, Modified Kalman Filters for Discrete Time Jump Detection,
Estimation of Jumps of Unknown Size in White Noise, Asymptotic Behaviour of the Optimal Filter of Jump and Slope Jump
Processes,
Changepoint Detection using Nonlinear Filters,
A
Unifying Framework for Chaos and Stochastic Stability in Population
Models, Stability of Stochastic Population Models,
Adaptive Identification of Continuous Time Systems in the Presence of
Noise, Adaptive Identification by Stochastic Approximation,
On Intervals, Transitivity = Chaos,
|