International Journal of Management and Applied Science (IJMAS)
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Statistics report
Jan. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 56
Paper Published : 3637
No. of Authors : 7479
  Journal Paper




Paper Title :
Derivatives Pricing with Spectrum Analysis

Author :Pierre Rostan, Alexandra Rostan

Article Citation :Pierre Rostan ,Alexandra Rostan , (2017 ) " Derivatives Pricing with Spectrum Analysis " , International Journal of Management and Applied Science (IJMAS) , pp. 162-166, Volume-3,Issue-3

Abstract : Spectrum analysis works well on waveform time series, especially stationary time series. Unfortunately, many financial time series are non-stationary, for example time series of index prices. In this paper, we transform a non-stationary time series of index prices into stationary, we apply wavelet extension to this transformed time series in order to forecast index prices underlying derivatives, then we price derivatives using the forecasted value as input of the payment function. Results are compared to derivatives intrinsic values, to market prices and to an analytical solution. Keywords- Derivatives pricing; spectrum analysis, wavelet analysis.

Type : Research paper

Indexed : Google Scholar


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