Option-implied adjusted information using extended generalised leland option pricing models in asset allocation strategies /

Deciding an optimum asset allocation strategy is crucial, especially in view of market participants. However, to effectively decide an accurate strategy requires stable and unbiased portfolio, which can be achieved by reduced potential estimation error, an improved governing option pricing model and...

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Bibliographic Details
Main Author: Hanani Farhah binti Harun (Author)
Format: Thesis
Language:English
Published: Kuantan, Pahang : Kulliyyah of Science, International Islamic University Malaysia, 2020
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Online Access:Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library.
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008 200924s2020 my a f m 000 0 eng d
040 |a UIAM  |b eng  |e rda 
041 |a eng 
043 |a a-my--- 
100 0 |a Hanani Farhah binti Harun,  |e author 
245 1 |a Option-implied adjusted information using extended generalised leland option pricing models in asset allocation strategies /  |c by Hanani Farhah binti Harun 
264 1 |a Kuantan, Pahang :   |b Kulliyyah of Science, International Islamic University Malaysia,   |c 2020 
300 |a xix, 310 leaves :  |b illustrations ;  |c 30cm. 
336 |2 rdacontent  |a text 
337 |2 rdamedia  |a unmediated 
338 |2 rdacarrier  |a volume 
338 |2 rdacarrier  |a online resource 
347 |2 rdaft  |a text file  |b PDF 
500 |a Abstracts in English and Arabic. 
500 |a "A thesis submitted in fulfilment of the requirement for the degree of Doctor of Philosophy (Computational and Theoretical Sciences)." --On title page. 
502 |a Thesis (Ph.D)--International Islamic University Malaysia, 2020. 
504 |a Includes bibliographical references (leaves 232-248). 
520 |a Deciding an optimum asset allocation strategy is crucial, especially in view of market participants. However, to effectively decide an accurate strategy requires stable and unbiased portfolio, which can be achieved by reduced potential estimation error, an improved governing option pricing model and an effective portfolio strategy. This study provides an empirical analysis of option-implied volatility after correcting for possible estimation error using wavelet transform. So far, little attention has been paid in utilising wavelet transform in denoising the option-implied moments, especially within the model-guided nonparametric framework. Thus, this study primarily seeks to examine the effect of a continuous wavelet transform on option-implied information retrieved from Dow Jones Industrial Average (DJIA) index options throughout 2009 until the end of 2015. This study then extends the existing option pricing models by developing Extended Generalised Leland models based on the implied adjusted volatility introduced in Leland models. The proposed semiparametric models are developed to incorporate the transaction costs rate factor in the intermediated model-free framework to assure realistic pricing of options. We employ a nonparametric mechanism within the conventional option-pricing framework based on the Leland models in order to tackle both model misspecification problem introduced in most parametric models and the infeasible pricing problem in nonparametric models. Given the fact that selecting a portfolio with optimal asset allocation is a typical issue faced by many investors, this study extends the improved option-implied information in answering the asset allocation problems. This study finds that wavelet improves the error approximation of the signal. On top, this study reveals that the option-implied adjusted volatility, which is priced using the Extended Generalised Leland models, delivers a significant improvement to the option valuation accuracy. Superior option pricing accuracy was observed in the Extended Generalised Leland models. Results indicate that the proposed model has shown to improve asset allocation strategy significantly. 
596 |a 6 
655 7 |a Theses, IIUM local 
690 |a Dissertations, Academic  |x Kulliyyah of Science  |z IIUM 
700 0 |a Mimi Hafizah Abdullah,  |e degree supervisor 
700 0 |a Pah Chin Hee,  |e degree supervisor 
710 2 |a International Islamic University Malaysia.  |b Kulliyyah of Science 
856 4 |u http://studentrepo.iium.edu.my/handle/123456789/10196  |z Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. 
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