Tesi sul tema "Investment analysis – Mathematical models"
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Ipperciel, David. "The performance of some new technical signals for investment timing". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0028/NQ50190.pdf.
Testo completoYuksel, Hasan Zafer. "Performance measures: Traditional versus new models". CSUSB ScholarWorks, 2006. https://scholarworks.lib.csusb.edu/etd-project/3086.
Testo completoSohn, SugJe. "Modeling and Analysis of Production and Capacity Planning Considering Profits, Throughputs, Cycle Times, and Investment". Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5083.
Testo completoDharmawan, Komang School of Mathematics UNSW. "Superreplication method for multi-asset barrier options". Awarded by:University of New South Wales. School of Mathematics, 2005. http://handle.unsw.edu.au/1959.4/30169.
Testo completoSoucik, Victor. "Finding the true performance of Australian managed funds". Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2002. https://ro.ecu.edu.au/theses/730.
Testo completoChan, Yin-ting, e 陳燕婷. "Topics on actuarial applications of non-linear time series models". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B32002099.
Testo completoChen, Hongqing. "An Empirical Study on the Jump-diffusion Two-beta Asset Pricing Model". PDXScholar, 1996. https://pdxscholar.library.pdx.edu/open_access_etds/1325.
Testo completoNiklewski, Jacek. "Multivariate GARCH and portfolio optimisation : a comparative study of the impact of applying alternative covariance methodologies". Thesis, Coventry University, 2014. http://curve.coventry.ac.uk/open/items/a8d7bf49-198d-49f2-9894-12e22ce2d7f1/1.
Testo completoZhou, Zilin, e 周紫麟. "Properties of analysts' earnings forecasts: the case of Hong Kong litsted local and Chinese companies". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45597467.
Testo completoTaniai, Hiroyuki. "Inference for the quantiles of ARCH processes". Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210305.
Testo completoLa première partie étudie les problèmes de Value-at-Risk (VaR) dans les séries financières ainsi modélisées. Les approches traditionnelles présentent une caractéristique discutable, que nous relevons, et à laquelle nous apportons une correction fondée sur les lois résiduelles. Nous pensons que les fondements de cette nouvelle approche sont plus solides, et permettent de prendre en compte le fait que le comportement des processus empiriques résiduels (REP) des processus ARCH, contrairement à celui des REP des processus ARMA, continue à dépendre de certains des paramètres du modèle.
La seconde partie approfondit l’étude générale des processus empiriques résiduels (REP) des processus ARCH dans l’optique de la régression quantile (QR) au sens de Koenker et Bassett (Econometrica 1978). La représentation de Bahadur des estimateurs QR, et dont découle la propriété de tension asymptotique des REP, est établie.
Finalement, dans la troisième partie, nous mettons en évidence la nature semi-paramétrique des modèles ARCH quantiles, et l’invariance, sous l’action de certains groupes de transforma-tions, des sous-modèles obtenus en fixant la valeur des paramètres. Cette structure de groupe permet la construction de méthodes d’inférence invariantes qui, dans l’esprit des résultats de Hallin and Werker (Bernoulli 2003) préservent l’optimalité au sens semi-paramétrique. Ces méthodes sont fondées sur les rangs et les signes résiduels. Nous développons en particulier les R-estimateurs des modèles considérés et étudions leurs performances.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished
Dicks, Anelda. "Value at risk and expected shortfall : traditional measures and extreme value theory enhancements with a South African market application". Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/85674.
Testo completoENGLISH ABSTRACT: Accurate estimation of Value at Risk (VaR) and Expected Shortfall (ES) is critical in the management of extreme market risks. These risks occur with small probability, but the financial impacts could be large. Traditional models to estimate VaR and ES are investigated. Following usual practice, 99% 10 day VaR and ES measures are calculated. A comprehensive theoretical background is first provided and then the models are applied to the Africa Financials Index from 29/01/1996 to 30/04/2013. The models considered include independent, identically distributed (i.i.d.) models and Generalized Autoregressive Conditional Heteroscedasticity (GARCH) stochastic volatility models. Extreme Value Theory (EVT) models that focus especially on extreme market returns are also investigated. For this, the Peaks Over Threshold (POT) approach to EVT is followed. For the calculation of VaR, various scaling methods from one day to ten days are considered and their performance evaluated. The GARCH models fail to converge during periods of extreme returns. During these periods, EVT forecast results may be used. As a novel approach, this study considers the augmentation of the GARCH models with EVT forecasts. The two-step procedure of pre-filtering with a GARCH model and then applying EVT, as suggested by McNeil (1999), is also investigated. This study identifies some of the practical issues in model fitting. It is shown that no single forecasting model is universally optimal and the choice will depend on the nature of the data. For this data series, the best approach was to augment the GARCH stochastic volatility models with EVT forecasts during periods where the first do not converge. Model performance is judged by the actual number of VaR and ES violations compared to the expected number. The expected number is taken as the number of return observations over the entire sample period, multiplied by 0.01 for 99% VaR and ES calculations.
AFRIKAANSE OPSOMMING: Akkurate beraming van Waarde op Risiko (Value at Risk) en Verwagte Tekort (Expected Shortfall) is krities vir die bestuur van ekstreme mark risiko’s. Hierdie risiko’s kom met klein waarskynlikheid voor, maar die finansiële impakte is potensieel groot. Tradisionele modelle om Waarde op Risiko en Verwagte Tekort te beraam, word ondersoek. In ooreenstemming met die algemene praktyk, word 99% 10 dag maatstawwe bereken. ‘n Omvattende teoretiese agtergrond word eers gegee en daarna word die modelle toegepas op die Africa Financials Index vanaf 29/01/1996 tot 30/04/2013. Die modelle wat oorweeg word sluit onafhanklike, identies verdeelde modelle en Veralgemeende Auto-regressiewe Voorwaardelike Heteroskedastiese (GARCH) stogastiese volatiliteitsmodelle in. Ekstreemwaarde Teorie modelle, wat spesifiek op ekstreme mark opbrengste fokus, word ook ondersoek. In hierdie verband word die Peaks Over Threshold (POT) benadering tot Ekstreemwaarde Teorie gevolg. Vir die berekening van Waarde op Risiko word verskillende skaleringsmetodes van een dag na tien dae oorweeg en die prestasie van elk word ge-evalueer. Die GARCH modelle konvergeer nie gedurende tydperke van ekstreme opbrengste nie. Gedurende hierdie tydperke, kan Ekstreemwaarde Teorie modelle gebruik word. As ‘n nuwe benadering oorweeg hierdie studie die aanvulling van die GARCH modelle met Ekstreemwaarde Teorie vooruitskattings. Die sogenaamde twee-stap prosedure wat voor-af filtrering met ‘n GARCH model behels, gevolg deur die toepassing van Ekstreemwaarde Teorie (soos voorgestel deur McNeil, 1999), word ook ondersoek. Hierdie studie identifiseer sommige van die praktiese probleme in model passing. Daar word gewys dat geen enkele vooruistkattingsmodel universeel optimaal is nie en die keuse van die model hang af van die aard van die data. Die beste benadering vir die data reeks wat in hierdie studie gebruik word, was om die GARCH stogastiese volatiliteitsmodelle met Ekstreemwaarde Teorie vooruitskattings aan te vul waar die voorafgenoemde nie konvergeer nie. Die prestasie van die modelle word beoordeel deur die werklike aantal Waarde op Risiko en Verwagte Tekort oortredings met die verwagte aantal te vergelyk. Die verwagte aantal word geneem as die aantal obrengste waargeneem oor die hele steekproefperiode, vermenigvuldig met 0.01 vir die 99% Waarde op Risiko en Verwagte Tekort berekeninge.
Schäfer, Carsten. "Asset Dividing Appraisal Model (ADAM) - Direct Real Estate Investment Evaluation". Doctoral thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-191784.
Testo completoGuedes, Maria do Carmo Vaz de Miranda. "Mathematical models in capital investment appraisal". Thesis, University of Warwick, 1988. http://wrap.warwick.ac.uk/107492/.
Testo completoSaboo, Jai Vardhan. "An investment analysis model using fuzzy set theory". Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/50087.
Testo completoMaster of Science
incomplete_metadata
Rodriguez, Javier A. "Capacity expansion and capital investment decisions using the Economic Investment Time Model : a case oriented approach /". Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-07292009-090518/.
Testo completoWei, Yong, e 卫勇. "The real effects of S&P 500 Index additions: evidence from corporate investment". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B4490681X.
Testo completoMoyen, Nathalie. "Financing investment with external funds". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0019/NQ46396.pdf.
Testo completoLi, Nan. "Mathematical Models and Numerical Methods for Pricing Options on Investment Projects under Uncertainties". Thesis, Curtin University, 2020. http://hdl.handle.net/20.500.11937/83866.
Testo completoRoschat, Christina [Verfasser]. "Mathematical Analysis of Marine Ecosystem Models / Christina Roschat". Kiel : Universitätsbibliothek Kiel, 2016. http://d-nb.info/1111558604/34.
Testo completoKeita, Sana. "Eulerian Droplet Models: Mathematical Analysis, Improvement and Applications". Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37907.
Testo completoRacheal, Cooper. "Analysis of Mathematical Models of the Human Lung". VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3289.
Testo completovan, Schalkwyk Garth. "Mathematical models for optimal management of bank capital, reserves and liquidity". University of the Western Cape, 2019. http://hdl.handle.net/11394/6643.
Testo completoThe aim of this study is to construct and propose continuous-time mathematical models for optimal management of bank capital, reserves and liquidity. This aim emanates from the global financial crisis of 2007 − 2009. In this regard and as a first task, our objective is to determine an optimal investment strategy for a commercial bank subject to capital requirements as prescribed by the Basel III Accord. In particular, the objective of the aforementioned problem is to maximize the expected return on the bank capital portfolio and minimize the variance of the terminal wealth. We apply classical tools from stochastic analysis to achieve the optimal strategy of a benchmark portfolio selection problem which minimizes the expected quadratic distance of the terminal risk capital reserves from a predefined benchmark. Secondly, the Basel Committee on Banking Supervision (BCBS) introduced strategies to protect banks from running out of liquidity. These measures included an increase of the minimum reserves that the bank ought to hold, in response to the global financial crisis. We propose a model to minimize risk for a bank by finding an appropriate mix of diversification, balanced against return on the portfolio. Thirdly and finally, in response to the financial crises, the Basel Committee on Banking Supervision (BCBS) designed a set of precautionary measures (known as Basel III) for liquidity imposed on banks and one of its purposes is to protect the economy from deteriorating. Recently, bank regulators wanted banks to depend on sources such as core deposits and long-term funding from small businesses and less on short-term wholesale funding.
Chavanasporn, Walailuck. "Application of stochastic differential equations and real option theory in investment decision problems". Thesis, University of St Andrews, 2010. http://hdl.handle.net/10023/1691.
Testo completoWu, Guangxi. "Sensitivity and uncertainty analysis of subsurface drainage design". Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/28529.
Testo completoApplied Science, Faculty of
Graduate
El-Hachem, Maud. "Mathematical models of biological invasion". Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/232864/1/Maud_El-Hachem_Thesis.pdf.
Testo completoGuo, Miin Hong. "Differential earnings response coefficients to accounting information: The case of revisions of financial analysts' forecasts". Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184712.
Testo completo廖智生 e Chi-sang Liu. "A study of optimal investment strategy for insurance portfolio". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B31227636.
Testo completoHarris, David Wayne. "A degradation analysis methodology for maintenance tasks". Thesis, Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/24867.
Testo completoMercurio, Matthew Forrest. "Divider analysis of drainage divides delineated at the field scale". Virtual Press, 2004. http://liblink.bsu.edu/uhtbin/catkey/1306855.
Testo completoDepartment of Geology
Beckham, Jon Regan. "Analysis of mathematical models of electrostatically deformed elastic bodies". Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 169 p, 2008. http://proquest.umi.com/pqdweb?did=1475178561&sid=27&Fmt=2&clientId=8331&RQT=309&VName=PQD.
Testo completoTumanova, Natalija. "The Numerical Analysis of Nonlinear Mathematical Models on Graphs". Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120720_121648-24321.
Testo completoDisertacijoje nagrinėjami nestacionarių matematinių modelių nestandartinėse srityse skaitiniai sprendimo algoritmai. Uždavinio formulavimo sritis yra šakotosios strukturos (ang. branching structures), kurių išsišakojimo taškuose apibrežiami tvermės dėsniai. Tvermės dėsnių skaitinė analizė ir nestandartinių kraštinių sąlygų analizė skiria nagrinėjamus uždavinius nuo klasikinių aprašytų literatūroje matematinės fizikos uždaviniu. Disertacijoje suformuluoti uždaviniai apima skaitinių algoritmų šakotose struktūrose su skirtingais srautų tvermės dėsniais stabilumo ir konvergavimo tyrimą, lygiagrečiųjų algoritmų sudarymą ir taikymą, skaitinių schemų uždaviniams su nelokaliomis integralinėmis sąlygomis tyrimą. Disertacijoje sprendžiami taikomieji neurono sužadinimo ir impulso relaksacijos lazerio apšviestame puslaidininkyje uždaviniai, netiesinio modelio identifikavimo uždavinys.
Chiang, T. "Mathematical and statistical models for the analysis of protein". Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.597600.
Testo completoDe, la Harpe Alana. "A comparative analysis of mathematical models for HIV epidemiology". Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/96983.
Testo completoENGLISH ABSTRACT: HIV infection is one of the world’s biggest health problems, with millions of people infected worldwide. HIV infects cells in the immune system, where it primarily targets CD4+ T helper cells and without treatment, the disease leads to the collapse of the host immune system and ultimately death. Mathematical models have been used extensively to study the epidemiology of HIV/AIDS. They have proven to be effective tools in studying the transmission dynamics of HIV. These models provide predictions that can help better our understanding of the epidemiological patterns of HIV, especially the mechanism associated with the spread of the disease. In this thesis we made a functional comparison between existing epidemiological models for HIV, with the focus of the comparison on the force of infection (FOI). The spread of infection is a crucial part of any infectious disease, as the dynamics of the disease depends greatly on the rate of transmission from an infectious individual to a susceptible individual. First, a review was done to see what deterministic epidemiological models exist. We found that many manuscripts do not provide the necessary information to recreate the authors’ results and only a small amount of the models could be simulated. The reason for this is mainly due to a lack of information or due to mistakes in the article. The models were divided into four categories for the analysis. On the basis of the FOI, we distinguished between frequency- or density-dependent transmission, and as a second criterion we distinguished models on the sexual activity of the AIDS group. Subsequently, the models were compared in terms of their FOI, within and between these classes. We showed that for larger populations, frequency-dependent transmission should be used. This is the case for HIV, where the disease is mainly spread through sexual contact. Inclusion of AIDS patients in the group of infectious individuals is important for the accuracy of transmission dynamics. More than half of the studies that were selected in the review assumed that AIDS patients are too sick to engage in risky sexual behaviour. We see that including AIDS patients in the infectious individuals class has a significant effect on the FOI when the value for the probability of transmission for an individual with AIDS is bigger than that of the other classes. The analysis shows that the FOI can vary depending on the parameter values and the assumptions made. Many models compress various parameter values into one, most often the transmission probability. Not showing the parameter values separately makes it difficult to understand how the FOI works, since there are unknown factors that have an influence. Improving the accuracy of the FOI can help us to better understand what factors influence it, and also produce more realistic results. Writing the probability of transmission as a function of the viral load can help to make the FOI more accurate and also help in the understanding of the effects that viral dynamics have on the population transmission dynamics.
AFRIKAANSE OPSOMMING: MIV-infeksie is een van die wêreld se grootste gesondheidsprobleme, met miljoene mense wat wêreldwyd geïnfekteer is. MIV infekteer selle in die immuunstelsel, waar dit hoofsaaklik CD4+ T-helperselle teiken. Sonder behandeling lei die siekte tot die ineenstorting van die gasheer se immuunstelsel en uiteindelik sy dood. Wiskundige modelle word breedvoerig gebruik om die epidemiologie van MIV/vigs te bestudeer. Die modelle is doeltreffende instrumente in die studie van die oordrag-dinamika van MIV. Hulle lewer voorspellings wat kan help om ons begrip van epidemiologiese patrone van MIV, veral die meganisme wat verband hou met die verspreiding van die siekte, te verbeter. In hierdie tesis het ons ‘n funksionele vergelyking tussen bestaande epidemiologiese modelle vir MIV gedoen, met die fokus van die vergelyking op die tempo van infeksie (TVI). Die verspreiding van infeksie is ‘n belangrike deel van enige aansteeklike siekte, aangesien die dinamika van die siekte grootliks afhang van die tempo van oordrag van ‘n aansteeklike persoon na ‘n vatbare persoon. ‘n Oorsig is gedoen om te sien watter kompartementele epidemiologiese modelle alreeds bestaan. Ons het gevind dat baie van die manuskripte nie die nodige inligting voorsien wat nodig is om die resultate van die skrywers te repliseer nie, en slegs ‘n klein hoeveelheid van die modelle kon gesimuleer word. Die rede hiervoor is hoofsaaklik as gevolg van ‘n gebrek aan inligting of van foute in die artikel. Die modelle is in vier kategorieë vir die analise verdeel. Op grond van die TVI het ons tussen frekwensie- of digtheidsafhanklike oordrag onderskei, en as ‘n tweede kriterium het ons die modelle op die seksuele aktiwiteit van die vigs-groep onderskei. Daarna is die modelle binne en tussen die klasse vergelyk in terme van hul TVIs. Daar is gewys dat frekwensie-afhanklike oordrag gebruik moet word vir groter bevolkings. Dit is die geval van MIV, waar die siekte hoofsaaklik versprei word deur seksuele kontak. Die insluiting van die vigs-pasiënte in die groep van aansteeklike individue is belangrik vir die akkuraatheid van die oordrag-dinamika van MIV. Meer as helfte van die uitgesoekte studies aanvaar dat vigs-pasiënte te siek is om betrokke te raak by riskante seksuele gedrag. Ons sien dat die insluiting van vigs-pasiënte in die groep van aansteeklike individue ‘n beduidende uitwerking op die TVI het wanneer die waarde van die waarskynlikheid van oordrag van ‘n individu met vigs groter is as dié van die ander klasse. Die analise toon dat die TVI kan wissel afhangende van die parameter waardes en die aannames wat gemaak is. Baie modelle voeg verskeie parameter waardes bymekaar vir die waarskynlikheid van oordrag. Wanneer die parameter waardes nie apart gewys word nie, is dit moeilik om die werking van die TVI te verstaan, want daar is onbekende faktore wat ‘n invloed op die TVI het. Die verbetering van die akkuraatheid van die TVI kan ons help om die faktore wat dit beïnvloed beter te verstaan, en dit kan ook help om meer realistiese resultate te produseer. Om die waarskynlikheid van oordrag as ‘n funksie van die viruslading te skryf kan help om die TVI meer akkuraat te maak en dit kan ook help om die effek wat virale dinamika op die bevolkingsoordrag-dinamika het, beter te verstaan.
Serkov, S. K. "Asymptotic analysis of mathematical models for elastic composite media". Thesis, University of Bath, 1998. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390311.
Testo completoLee, M. E. M. "Mathematical models of the carding process". Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249543.
Testo completoCrawford, David Michael. "Analysis of biological pattern formation models". Thesis, University of Oxford, 1989. http://ora.ox.ac.uk/objects/uuid:aaa19d3b-c930-4cfa-adc6-8ea498fa5695.
Testo completoHakami, Amir. "Direct sensitivity analysis in air quality models". Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04082004-180202/unrestricted/hakami%5Famir%5F200312%5Fphd.pdf.
Testo completoAkileh, Aiman R. "Elastic-plastic analysis of axisymmetrically loaded isotropic circular and annular plates undergoing large deflections". PDXScholar, 1986. https://pdxscholar.library.pdx.edu/open_access_etds/3559.
Testo completoGalagedera, Don U. A. "Investment performance appraisal and asset pricing models". Monash University, Dept. of Econometrics and Business Statistics, 2003. http://arrow.monash.edu.au/hdl/1959.1/5780.
Testo completoSood, Premlata Khetan. "Profit sharing, unemployment, and inflation in Canada : a simulation analysis". Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=34459.
Testo completoKhalilzadeh, Amir Hossein. "Variance Dependent Pricing Kernels in GARCH Models". Thesis, Uppsala universitet, Analys och tillämpad matematik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-180373.
Testo completo"Multi-period cooperative investment game with risk". 2008. http://library.cuhk.edu.hk/record=b5893772.
Testo completoThesis (M.Phil.)--Chinese University of Hong Kong, 2008.
Includes bibliographical references (leaves 89-91).
Abstracts in English and Chinese.
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Background --- p.1
Chapter 1.2 --- Aims and objectives --- p.2
Chapter 1.3 --- Outline of the thesis --- p.3
Chapter 2 --- Literature Review --- p.6
Chapter 2.1 --- Portfolio Optimization Problems --- p.6
Chapter 2.2 --- Cooperative Games and Cooperative Investment Models --- p.8
Chapter 2.2.1 --- Linear Production Games And Basic Concepts of Co- operative Game Theory --- p.9
Chapter 2.2.2 --- Investment Models Using Linear Production Games --- p.12
Chapter 3 --- Multi-period Cooperative Investment Games: Basic Model --- p.15
Chapter 3.1 --- Cooperative Investment Game under Deterministic Case --- p.16
Chapter 3.2 --- Cooperative Investment Game with Stochastic Return --- p.18
Chapter 3.2.1 --- Basic Assumptions --- p.18
Chapter 3.2.2 --- Choose the Proper Risk Measure --- p.20
Chapter 3.2.3 --- One Period Case --- p.21
Chapter 3.2.4 --- Multi-Period Case --- p.23
Chapter 4 --- The Two-Period Investment Game under L∞ Risk Measure --- p.26
Chapter 4.1 --- The Two Period Model --- p.26
Chapter 4.2 --- The Algorithm --- p.35
Chapter 4.3 --- Optimal Solution of the Dual --- p.41
Chapter 5 --- Primal Solution and Stability of the Core under Two-Period Case --- p.43
Chapter 5.1 --- Direct Results --- p.44
Chapter 5.2 --- Find the Optimal Solutions of the Primal Problem --- p.46
Chapter 5.3 --- Relationship between A and the Core --- p.53
Chapter 5.3.1 --- Tracing out the efficient frontier --- p.54
Chapter 6 --- Multi-Period Case --- p.63
Chapter 6.1 --- Common Risk Price and the Negotiation Process with Concave Risk Utility --- p.64
Chapter 6.1.1 --- Existence of Common Risk Price and Core --- p.65
Chapter 6.1.2 --- Negotiation Process --- p.68
Chapter 6.2 --- Modified Simplex Method --- p.71
Chapter 7 --- Other Risk Measures --- p.76
Chapter 7.1 --- The Downside Risk Measure --- p.76
Chapter 7.1.1 --- Discrete (Finite Scenario) Distributions --- p.78
Chapter 7.1.2 --- General Distributions --- p.81
Chapter 7.2 --- Coherent Risk Measure and CVaR --- p.83
Chapter 8 --- Conclusion and Future Work --- p.87
"Models of multi-period cooperative re-investment games". 2010. http://library.cuhk.edu.hk/record=b5894494.
Testo completoThesis (M.Phil.)--Chinese University of Hong Kong, 2010.
Includes bibliographical references (p. 111-113).
Abstracts in English and Chinese.
Abstract --- p.i
Acknowledgement --- p.iii
Chapter 1 --- Introduction and Literature Review --- p.1
Chapter 1.1 --- Introduction --- p.1
Chapter 1.1.1 --- Background and Motivating examples --- p.2
Chapter 1.1.2 --- Basic Concepts --- p.4
Chapter 1.1.3 --- Outline of the thesis --- p.6
Chapter 1.2 --- Literature Review --- p.8
Chapter 2 --- Multi-period Cooperative Re-investment Games: The Basic Model --- p.11
Chapter 2.1 --- Basic settings and assumptions --- p.11
Chapter 2.2 --- The problem --- p.13
Chapter 3 --- Three sub-models and the allocation rule of Sub-Model III --- p.17
Chapter 3.1 --- Three possible sub-models of the basic model --- p.17
Chapter 3.1.1 --- Sub-model I --- p.17
Chapter 3.1.2 --- Sub-model II --- p.18
Chapter 3.1.3 --- Sub-model III --- p.19
Chapter 3.2 --- The allocation rule of Sub-model III --- p.19
Chapter 4 --- A two period example of the revised basic model --- p.25
Chapter 4.1 --- The two period example with two projects --- p.25
Chapter 4.2 --- The algorithm for the dual problem --- p.29
Chapter 5 --- Extensions of the Basic Model --- p.35
Chapter 5.1 --- The model with stochastic budgets --- p.36
Chapter 5.2 --- The core of the model with stochastic budgets --- p.39
Chapter 5.3 --- An example: the two-period case of models with stochastic bud- gets and an algorithm for the dual problem --- p.46
Chapter 5.4 --- An interesting marginal effect --- p.52
Chapter 5.5 --- "A Model with stochastic project prices, stochastic returns and stochastic budgets" --- p.54
Chapter 6 --- Multi-period Re-investment Model with risks --- p.58
Chapter 6.1 --- The Model with l1 risk measure --- p.58
Chapter 6.2 --- The Model with risk measure --- p.66
Chapter 7 --- Numerical Tests --- p.70
Chapter 7.1 --- The affects from uncertainty changes --- p.71
Chapter 7.2 --- The affects from budget changes --- p.71
Chapter 7.3 --- The affects from the budget changes of only one group --- p.71
Chapter 8 --- Conclusive Remarks --- p.77
Chapter A --- Original Data and Analysis for Section 7.1 (Partial) --- p.79
Chapter B --- Data Analysis for Section 7.2 (Partial) --- p.95
Chapter C --- Data Analysis for Section 7.3 (Partial) --- p.98
Shen, Weiwei. "Portfolio optimization with transaction costs and capital gain taxes". Thesis, 2014. https://doi.org/10.7916/D8PK0D76.
Testo completoAzimi-Zonooz, Aydeen. "A power comparison of mutual fund timing and selectivity models under varying portfolio and market conditions". Thesis, 1992. http://hdl.handle.net/1957/36490.
Testo completoGraduation date: 1992
"Dynamic portfolio analysis: mean-variance formulation and iterative parametric dynamic programming". 1998. http://library.cuhk.edu.hk/record=b5889737.
Testo completoThesis submitted in: November 1997.
On added t.p.: January 19, 1998.
Thesis (M.Phil.)--Chinese University of Hong Kong, 1998.
Includes bibliographical references (leaves 114-119).
Abstract also in Chinese.
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Overview --- p.1
Chapter 1.2 --- Organization Outline --- p.5
Chapter 2 --- Literature Review --- p.7
Chapter 2.1 --- Modern Portfolio Theory --- p.7
Chapter 2.1.1 --- Mean-Variance Model --- p.9
Chapter 2.1.2 --- Setting-up the relationship between the portfolio and its component securities --- p.11
Chapter 2.1.3 --- Identifying the efficient frontier --- p.12
Chapter 2.1.4 --- Selecting the best compromised portfolio --- p.13
Chapter 2.2 --- Stochastic Optimal Control --- p.17
Chapter 2.2.1 --- Dynamic Programming --- p.18
Chapter 2.2.2 --- Dynamic Programming Decomposition --- p.21
Chapter 3 --- Multiple Period Portfolio Analysis --- p.23
Chapter 3.1 --- Maximization of Multi-period Consumptions --- p.24
Chapter 3.2 --- Maximization of Utility of Terminal Wealth --- p.29
Chapter 3.3 --- Maximization of Expected Average Compounded Return --- p.33
Chapter 3.4 --- Minimization of Time to Reach Target --- p.35
Chapter 3.5 --- Goal-Seeking Investment Model --- p.37
Chapter 4 --- Multi-period Mean-Variance Analysis with a Riskless Asset --- p.40
Chapter 4.1 --- Motivation --- p.40
Chapter 4.2 --- Dynamic Mean-Variance Analysis Formulation --- p.43
Chapter 4.3 --- Auxiliary Problem Formulation --- p.45
Chapter 4.4 --- Efficient Frontier in Multi-period Portfolio Selection --- p.53
Chapter 4.5 --- Obseravtions --- p.58
Chapter 4.6 --- Solution Algorithm for Problem E (w) --- p.62
Chapter 4.7 --- Illstrative Examples --- p.63
Chapter 4.8 --- Verification with Single-period Efficient Frontier --- p.72
Chapter 4.9 --- Generalization to Cases with Nonlinear Utility Function of E (xT) and Var (xT) --- p.75
Chapter 5 --- Dynamic Portfolio Selection without Risk-less Assets --- p.84
Chapter 5.1 --- Construction of Auxiliuary Problem --- p.88
Chapter 5.2 --- Analytical Solution for Efficient Frontier --- p.89
Chapter 5.3 --- Reduction to Investment Situations with One Risk-free Asset --- p.101
Chapter 5.4 --- "Multi-period Portfolio Selection via Maximizing Utility function U(E {xT),Var (xT))" --- p.103
Chapter 6 --- Conclusions and Recommendations --- p.108
Chapter 6.1 --- Summaries and Achievements --- p.108
Chapter 6.2 --- Future Studies --- p.110
Chapter 6.2.1 --- Constrained Investment Situations --- p.110
Chapter 6.2.2 --- Including Higher Moments --- p.111
"Online banking investment decision with real option pricing analysis". 2001. http://library.cuhk.edu.hk/record=b5890704.
Testo completoThesis (M.Phil.)--Chinese University of Hong Kong, 2001.
Includes bibliographical references (leaves 69-73).
Abstracts in English and Chinese.
Chapter Part I: --- INTRODUCTION --- p.1
Chapter Part II: --- LITERATURE REVIEW --- p.4
Chapter - --- Financial option-pricing theory
Chapter - --- Real option-pricing theory
Chapter - --- Real option-pricing theory in Management Information System Area
Chapter Part III: --- CASE BACKGROUND --- p.14
Chapter - --- Case Background
Chapter - --- Availability of online banking services in Hong Kong
Chapter - --- Online banking investment in the Hong Kong Chinese Bank
Chapter Part IV: --- RESEARCH MODEL --- p.19
Chapter - --- Research model
Chapter - --- Modelling of the optimal timing problem of HKCB
Chapter - --- Justification of geometric Brownian motion assumption for using Black-Scholes formula
Chapter Part V : --- DATA COLLECTION --- p.30
Chapter Part VI: --- ANALYSIS RESULT --- p.35
Chapter - --- Analysis result
Chapter - --- Sensitivity analysis on the selected parameters
Chapter - --- Suggested investment timing
Chapter Part VII: --- DISCUSSIONS AND IMPLICATIONS --- p.44
Chapter - --- Result discussion
Chapter - --- Implications for researchers
Chapter - --- Implications for practitioners
Chapter Part VIII: --- LIMITATIONS AND CONTRIBUTIONS --- p.48
Chapter - --- Limitation on data collection process
Chapter - --- Limitations on Black-Scholes model
Chapter - --- Contributions
APPENDIX
Appendix A -Limitation of traditional Discounted Cash Flow analysis --- p.51
Appendix B -Banks services available to the customers --- p.54
Appendix C -Sample path of a Geometric Brownian Motion --- p.56
Appendix D -Discounted Cash Flows analysis of immediate entry of online banking investment --- p.57
Appendix E -Black-Scholes formula and its interpretation for non-traded --- p.61
Appendix F -Questionnaire for Online banking investment --- p.64
Appendix G -Availability of online banking services in May 2001 --- p.67
Appendix H -Sensitivity analysis on the number of initial usage --- p.68
Appendix I -Reference List --- p.69
"Value-at-risk analysis of portfolio return model using independent component analysis and Gaussian mixture model". 2004. http://library.cuhk.edu.hk/record=b5892248.
Testo completoThesis submitted in: August 2003.
Thesis (M.Phil.)--Chinese University of Hong Kong, 2004.
Includes bibliographical references (leaves 88-92).
Abstracts in English and Chinese.
Abstract --- p.ii
Acknowledgement --- p.iv
Dedication --- p.v
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Motivation and Objective --- p.1
Chapter 1.2 --- Contributions --- p.4
Chapter 1.3 --- Thesis Organization --- p.5
Chapter 2 --- Background of Risk Management --- p.7
Chapter 2.1 --- Measuring Return --- p.8
Chapter 2.2 --- Objectives of Risk Measurement --- p.11
Chapter 2.3 --- Simple Statistics for Measurement of Risk --- p.15
Chapter 2.4 --- Methods for Value-at-Risk Measurement --- p.16
Chapter 2.5 --- Conditional VaR --- p.18
Chapter 2.6 --- Portfolio VaR Methods --- p.18
Chapter 2.7 --- Coherent Risk Measure --- p.20
Chapter 2.8 --- Summary --- p.22
Chapter 3 --- Selection of Independent Factors for VaR Computation --- p.23
Chapter 3.1 --- Mixture Convolution Approach Restated --- p.24
Chapter 3.2 --- Procedure for Selection and Evaluation --- p.26
Chapter 3.2.1 --- Data Preparation --- p.26
Chapter 3.2.2 --- ICA Using JADE --- p.27
Chapter 3.2.3 --- Factor Statistics --- p.28
Chapter 3.2.4 --- Factor Selection --- p.29
Chapter 3.2.5 --- Reconstruction and VaR Computation --- p.30
Chapter 3.3 --- Result and Comparison --- p.30
Chapter 3.4 --- Problem of Using Kurtosis and Skewness --- p.40
Chapter 3.5 --- Summary --- p.43
Chapter 4 --- Mixture of Gaussians and Value-at-Risk Computation --- p.45
Chapter 4.1 --- Complexity of VaR Computation --- p.45
Chapter 4.1.1 --- Factor Selection Criteria and Convolution Complexity --- p.46
Chapter 4.1.2 --- Sensitivity of VaR Estimation to Gaussian Components --- p.47
Chapter 4.2 --- Gaussian Mixture Model --- p.52
Chapter 4.2.1 --- Concept and Justification --- p.52
Chapter 4.2.2 --- Formulation and Method --- p.53
Chapter 4.2.3 --- Result and Evaluation of Fitness --- p.55
Chapter 4.2.4 --- Evaluation of Fitness using Z-Transform --- p.56
Chapter 4.2.5 --- Evaluation of Fitness using VaR --- p.58
Chapter 4.3 --- VaR Estimation using Convoluted Mixtures --- p.60
Chapter 4.3.1 --- Portfolio Returns by Convolution --- p.61
Chapter 4.3.2 --- VaR Estimation of Portfolio Returns --- p.64
Chapter 4.3.3 --- Result and Analysis --- p.64
Chapter 4.4 --- Summary --- p.68
Chapter 5 --- VaR for Portfolio Optimization and Management --- p.69
Chapter 5.1 --- Review of Concepts and Methods --- p.69
Chapter 5.2 --- Portfolio Optimization Using VaR --- p.72
Chapter 5.3 --- Contribution of the VaR by ICA/GMM --- p.76
Chapter 5.4 --- Summary --- p.79
Chapter 6 --- Conclusion --- p.80
Chapter 6.1 --- Future Work --- p.82
Chapter A --- Independent Component Analysis --- p.83
Chapter B --- Gaussian Mixture Model --- p.85
Bibliography --- p.88
Drienko, Jozef. "Testing asset pricing models using market expectations". Phd thesis, 2013. http://hdl.handle.net/1885/150890.
Testo completo"Multi-period portfolio optimization". Thesis, 2009. http://library.cuhk.edu.hk/record=b6074946.
Testo completoYi, Lan.
Adviser: Duan Li.
Source: Dissertation Abstracts International, Volume: 72-11, Section: A, page: .
Thesis (Ph.D.)--Chinese University of Hong Kong, 2009.
Includes bibliographical references (leaves 133-139).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [201-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Electronic reproduction. Ann Arbor, MI : ProQuest dissertations and theses, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Abstract also in Chinese.