Biotechnology generated solutions have been hailed as potential cures to many of the problems facing the world today. New therapeutics will eradicate disease, new agricultural products will solve food shortages, and industrial application will improve productivity with reduced environmental impact. Despite the much anticipated benefits of biotechnology, the industry faces significant challenges that must be overcome in the coming decades. Biotechnology is an inherently complex field with a high degree of uncertainty and associated risks. In addition to the risk associated with project development and delivery, businesses looking to extract an economic return from the provision of biotechnology products and services face significant financial risk. This is exacerbated by the long lead times in biotechnology product development and the expensive nature of research and development. This thesis looks investigates the multi faceted problem of biotechnology valuation in Australia using a multi method approach designed to provide greater insight into the valuation challenges facing the industry and identify key value drivers. The approach incorporates a broad qualitative investigation, complimented by more focused quantitative studies into specific valuation issues surrounding IPO and project valuation. Australian biotechnology firms face a significant challenge to raise sufficient capital in order to remain internationally competitive. The current industry structure and funding mechanisms encourage creation of small firms with narrow pipelines, exacerbating the risk of company failure and acting as an impediment to sustainability and, therefore, investment in the sector. Despite the challenges facing the Australian biotechnology industry, the nation possesses a competitive advantage in the strength of local science which, if fully leveraged, should see the development of an internationally competitive industry. Through improved funding mechanisms which encourage the creation of sustainable business models, increased investor participation in the industry should see a greater portion of the value generated through biotechnology retained by local participants. An IPO is likely the largest single capital raising in a company's history. A quantitative investigation into the factors influencing the amount of underpricing and money left on the table for Australian biotechnology IPOs found that the amount of money left on the table was more critical than the level of underpricing. Additionally the impact of market sentiment on biotechnology IPOs was investigated with increased media coverage found to be positively related to the amount of money left on the table. Using project valuation models, the drivers of value over the life of a typical biotechnology project were identified. Key drivers of biotechnology value are commercial viability, coupled with development cost and time. The ability of management to control these elements is crucial. Analysis of project valuations using a traditional DCF model found value estimates exhibited a greater level of uncertainty than those calculated using more contemporary methods of decision tree and real option analysis. Additionally, incorporation of management flexibility into valuation assessment using real options techniques increased the perceived value of biotechnology projects. The value of management flexibility was found to be most relevant for early stage projects where the option to abandon was found to greatly influence values.

Customer is one of the most important profit resources for a firm. It is increasingly apparent that management will make a decision by customer value. This research focuses on the most critical aspect of a firm: customer lifetime value. It is used to valuing customer lifetime value by discount cash flow approach. This research uses the real option approach (ROA) and connects the concept of customer lifetime value in marketing to build a new valuation model. Real option approach is a new method for estimating the value. It resolves some disadvantage which traditional financial models such as discount cash flow approach can not value the managerial flexibility. In practice, management has many options. These options provide flexibility that adds to the value of customers. The customer investment (e.g., service and advertising) can be deferred at the design phase and under uncertainty, it can be expanded or extended if it does better than expected, or abandoned if it gets worse. There are various types of options that are related to valuing customers, such as deferral, abandonment, expansion, and contraction of investment. This research provides good solution to value customer lifetime value by using real option approach and uses bank wealth management programs as practice evidence. This research builds a fitness model to value managerial flexibility. This research finds out that the domestic banks original set up the VIP migration boundary according to American experience are unreasonable and should be adjusted. Besides, when domestic banks set up the VIP migration boundary, the most important factor they should consider is deposit growth rate instead American experience. Finally, the practice evidence of the influence the expected factors on VIP migration boundary confirms with this research¡¦s expectation.

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Savo darbe mes nagrinėjame Gerber-Shiu baudos funkciją klasikiniame rizikos modelyje atveju, kai žalų dydžiai pasiskirstę pagal Pareto dėsnį. Pagrindinis uždavinys yra susikonstruoti algoritmą funkcijos reikšmių gavimui. Tiriamas Gerber-Shiu diskontuotos baudos funkcijos atvejis, kada vidinė baudos funkcija w tapačiai lygi vienetui. Dėl sudėtingos transformuoto Pareto skirstinio formos analitiškai paskaičiuoti sąsūkų nepavyko. Tam tikslui naudojamas interpoliavimas kubiniu splainu. N kartų kartodami sukonstruotą algoritmą gauname pirmąsias n sąsūkas laisvai pasirinktiems pradiniams parametrams: Pareto skirstinio laipsnio rodikliui α, pradiniam kapitalui u, santykinei draudimo priemokai θ, diskontavimo parametrui (palūkanų normai) δ ir Puasono proceso parametrui λ. Lentelių pagalba parodome funkcijos priklausomybę nuo skirtingų modeliuojančių parametrų reikšmių. Išvadose teigiame jog pasiūlytas metodas skaičiuoti Gerber-Shiu diskontuotos baudos funkciją nors ir išpildomas tačiau yra neefektyvus. Kai kuriais pradinių parametrų pasirinkimo atvejais susiduriama su tikslumo problema. Norint tiksliai paskaičiuoti funkcijos reikšmes reikia didesnių eilių transformuoto Pareto skirstinio sąsūkų, o tam reikalingi dideli resursai. Kita vertus, pradinio kapitalo u reikšmėms didėjant tikslumas didėja ženkliai. / In this paper we consider Gerber-Shiu discounted penalty function in the classical risk model for Pareto claims. Our main goal is to construct an algorithm for obtaining values of the discounted penalty function (considering penalty function w=1). Due to the complicated form of the transformed Pareto distribution function we cannot obtain its convolutions analiticaly. We use numerical methods provided by Maple (cube spline) to find interpolating functions instead. Continuously applying recursive formulas we obtain first 5 interpolated convolutions. Then we calculate values of Gerber-Shiu discounted penalty function for certain arbitrary parameters: α – degree of Pareto distribution function, initial surplus u, security loading θ, discounting parameter δ and Poison process parameter λ. We present data tables and graphs of the discounted penalty function for some variations of parameters in later sections. Finally we state that the method that we use is quite complicated. For better accuracy of the discounted penalty function values one may require to get many convolutions of the transformed Pareto distribution function and that may require too great of the resources. However the quantity of the convolutions needed rapidly decreases for large values of the initial surplus u.

Herdecke, Universiẗat, Diss., 2005, u.d.T.: Timmreck, Christian: Zur Konzeption und Anwendung kapitalmarktorientierter Sicherheitsäquivalente bei der Unternehmensbewertung--Witten.

Zugl.: Wiener Neustadt, FH, Diss., 2006.

Zugl.: Regensburg, Univ., Diss., 2008

Zugl.: Regensburg, Univ., Diss., 2008

Master-Arbeit Univ. St. Gallen, 2006.

Zugl.: München, Universiẗat der Bundeswehr, Diss., 2009.