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R.A. Brealey and S.C. Myers. Principles of Corporate Finance. McGraw-Hill, 5th edition, 1996.

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Keep Your Options Open: - Extreme Programming And   (Correct)

....corporate finance texts provide more comprehensive discussions of basic valuation concepts in particular capital budgeting, Discounted Cash Flow techniques, Net Present Value, and the relationship between risk and rerum. Recommended texts are Ross et al. Ross 1996] and Brealey and Myers [Brealey 1987]. Hull s book [Hull1997] provides an undergraduate level overview of derivative securities (including options) the general techniques for their pricing, and derivative markets. Pindyck and Dixit [Pindyck 1992] offer a deeper and more theoretical exposition of option pricing theory together with ....

R. Brealey, S.C. Myers. Principles of Corporate Finance. New York, N.Y.: McGraw-Hill, 1987.


Pareto Evolutionary Neural Networks - Fieldsend, Singh (2003)   (Correct)

....forecasting of 37 international stock indices. 3. 2 Financial data An illustration of the interaction of multiple objectives in a problem, where a set of models is desired for collective use (as opposed to comparison) can be shown by analogy to the capital asset pricing model (CAPM) from finance [7]. The CAPM describes the relationship between risk and return in an optimum portfolio of stocks, where risk is to be minimised and return maximised. In Figure 5a the front FF represents the Pareto optimal portfolios (called ejcient portfolios in CAPM) with examples of other sub optimal portfolios ....

.... strategy (based around the direction success error for instance) as a measurement of the expected return of a model, as used in [18] However in this study the measure of risk is the standard deviation of returns from the trading strategy used, a more accurate transference of economic theory [7]. The front FF therefore represents the Pareto optimal set of regression models, with models a to b being the final models desired by the practitioner (to enable operation on the security market line) In addition, given that different individuals may experience differing Rfs (due to differing ....

R.A. Brealey and S.C. Myers. Principles of Corporate Finance. McGraw-Hill, 5th edition, 1996.


Managing IT for Value - Favaro   (Correct)

....of capital Figure 2: Net Present Value and Cost of Capital Warren Buffet [3] has summarized the fundamental economic value equation succinctly: Intrinsic [economic] value, is the discounted value of the cash that can be taken out of a business during its remaining life. Discounted cash flow [2] involves the weighting (discounting) of the net cash flows (revenues minus costs) that an investment will earn from now until the end of its life (Figure 2) The discount rate is related to current interest rates (reflecting the fact that some revenue is received further in the future) and ....

....theory of pricing. Such a theory was developed in 1973 by Fisher Black, Myron Scholes, and Robert Merton (winning them the 1997 Nobel Prize in Economics) and led to a new science of financial engineering, whereby derivative instruments are used in many inventive ways to manage risk in investments [2]. Riskless) Stock value uncertainty 2 Current price of underlying stock Time to expiration 3 Exercise price 5 Present value of expected cash flows Project value uncertainty 3 Time until opportunity disappears Investment cost Financial Real (Riskless) interest rates ....

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Brealey, R., and S. Myers, Principles of corporate finance, Fifth edition, McGraw-Hill, New York, 1996


Benefit Maximizing Classification Using Feature Intervals - Ikizler (2002)   (Correct)

....benefit matrix approved by experts given in Table B.5 in Appendix B. Our benefit model resembles the cost model proposed in [15] to some extent. In Domingos s study, the aim is to answer the question of whether a machine learning system should be deployed depending on its net present value (NPV) [9]. To accomplish this goal, the so called cost model is also formulated in terms of cash flows, instead of costs, asserting the awkwardness of treating revenues as negative costs. 2.4.1 Optimal Prediction Using Benefit Matrices Using the framework of benefit matrices, the cost sensitive ....

R.A. Brealey and S.C. Myers. Principles of Corporate Finance. New York, NY: MacGraw-Hill, 5 th edition, 1996.


Pareto Multi-Objective Non-Linear Regression Modelling to.. - Fieldsend, Singh (2002)   (Correct)

....by any other member: c 3 f ZKchg 15120 2470 (8) IV. ANALOGY WITH THE CAPM MODEL An illustration of the interaction of multiple objectives in a problem, where a set of models is desired for collective use (as opposed to comparison) can be shown by analogy to the CAPM from finance [20]. The CAPM describes the relationship between risk and return in an optimum portfolio of stocks, where risk is to be minimised and return maximised, and can therefore also be applied to populations of forecast models. X X X X X X X X X X X X X X X X X X X X X X X X X X X X X ....

R.A. Brealey and S.C. Myers. Principles of Corporate Finance. McGraw-Hill, 5th edition, 1996.


Keep Your Options Open: Extreme Programming and Economics of .. - Erdogmus, Favaro (2002)   (Correct)

....corporate finance texts provide more comprehensive discussions of basic valuation concepts in particular capital budgeting, Discounted Cash Flow techniques, Net Present Value, and the relationship between risk and return. Recommended texts are Ross et al. Ross 1996] and Brealey and Myers [Brealey 1987]. Hull s book [Hull1997] provides an undergraduate level overview of derivative securities (including options) the general techniques for their pricing, and derivative markets. Pindyck and Dixit [Pindyck 1992] offer a deeper and more theoretical exposition of option pricing theory together with ....

R. Brealey, S. C. Myers. Principles of Corporate Finance. New York, N.Y.: McGraw-Hill, 1987.


Strategic Analysis of Application Framework Investments - Favaro, Favaro (1999)   (Correct)

....pursue) and capital budgeting (the financial analysis, allocation of resources, and monitoring of performance in projects in the chosen lines of business) In a sense, they are two ways of looking at the same problem whereas strategic planning is top down, capital budgeting is bottom up. Indeed, Brealey and Myers (1996) characterize strategic planning as capital budgeting on a grand scale. The activities of the lower levels of the Reuse Capability Model share the bottom up characteristics of capital budgeting; those of the higher levels exhibit the top down characteristics of strategic planning. Ideally, the two ....

....market risk, which brings valuable opportunities with it as well as uncertainties. In today s fast changing, volatile software market, risk and opportunity go hand in hand, and the strategic investments characterized by many framework investments cannot afford to view risk in pessimistic terms. As Brealey and Myers (1996) say, the purpose of risk management should not be to reduce risk, but to add value. Risk management should properly to identify those risks that are worthwhile taking and those that are not as Lister (1997) says, only stupid risks are bad. Indeed, markets that exhibit high risk and volatility ....

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Brealey, R., and Myers, S. 1996. Principles of Corporate Finance. McGraw-Hill, New York.


Value Based Software Reuse Investment - Favaro, Favaro (1998)   (10 citations)  (Correct)

....several approaches to valuation cited in the literature on software reuse economics, including time to payback, amortization, and profitability index, concluding that Net Present Value (NPV) is superior to other, ad hoc approaches. Following standard texts on financial theory in this section [Brealey and Myers 1996; Trigeorgis 1996] we introduce and motivate concepts of value, risk, and decision modeling, together with illustrative scenarios. The concept of present value is an essential tool for giving proper weight to all present and future costs and benefits resulting from an investment. Based upon the ....

....of all stocks) has by definition an average beta of 1.0. Technology companies (and therefore their projects, on average) tend to be high beta. This is why we often hear phrases like Tech stocks rise and fall the most in market swings. Table 2 shows some typical betas of technology companies [Brealey and Myers 1996]. Company Beta AT T 0.92 Biogen 2.20 Compaq 1.18 Hewlett Packard 1.65 Microsoft 1.23 Table 2: Estimated Tech Company Betas 1989 1994 For completeness we note that company betas cannot necessarily be used as is for project betas, because company betas reflect risk on all assets, including ....

[Article contains additional citation context not shown here]

Brealey, R., and S. Myers (1996), Principles of Corporate Finance, Fifth Edition, McGraw-Hill, New York, NY.


A Comparison of Approaches to Reuse Investment Analysis - Favaro (1996)   (7 citations)  (Correct)

....acceptance rule breaks down here and leads to an incorrect decision. The problem of alternating cash flows leads to other technical anomalies in the calculation of IRR, as in: C 0 4000 C 1 25000 C 2 25000 IRR in percent both 25 and 400 NPV at 10 percent 1934 This cash flow scenario (from [2]) produces two IRR values (due to multiple sign changes) Furthermore, the following scenario yields no IRR at all: C 0 1000 C 1 3000 C 2 2500 IRR in percent none NPV at 10 percent 339 An investment analysis method must be flexible enough to handle all cash flow scenarios. As seen above, ....

....by software engineers unfamiliar with them. Intuitively appealing notions such as break even point, payback, and return on investment are often used without consideration for known shortcomings. The issues discussed in this article have all been dealt with in mainstream corporate finance [2], whose techniques are directly applicable to reuse investment analysis. Related work on software investments can also be found in textbooks such as [21] 22] To return to the statement by Pfleeger in the beginning of this text, it is desirable for software engineers to become conversant with ....

R. Brealey and S. Myers, Principles of Corporate Finance, McGraw-Hill, New York, 1981.


Computing Near Optimal Strategies for Stochastic.. - Hauskrecht.. (1999)   (Correct)

....Objectives Our goal is to determine the best, profit maximizing, trading strategy for a given initial state, which is determined by the current price and amount of commodity the agent owns. We use the standard valuation method, the expected net present value (NPV) function (see e.g. [Brealey and Myers, 1991; Trigeorgis, 1996] V (s) E( T X t=0 t m t j ; s) where s denotes an initial state, is a strategy, 1 1 r is a discount factor, T is the decision horizon, and m t is cash flow at time t. Thus our goal is to find such that V (s) is maximized. The objective function ....

Richard A. Brealey and Stewart C. Myers. Principles of Corporate Finance. McGrawHill, 1991.


CBISA - a DSS for Analysing a Company's Information Security: A.. - Finne (1996)   (Correct)

....minimised. However, it may be that an otherwise very reliable employee is blackmailed into leaking sensitive information. An investor should always take into consideration that there is an immovable risk, e.g. the risk that a natural disaster will happen and negatively affects the stock market [3]. When dealing with its ISEC a company should always take into consideration that there is an immovable risk. Decisions on information security are made under uncertainty. For example, we cannot put a probability on hackers attacking our system and succeeding. This fact must not deject us but we ....

.... collection of prospects . A portfolio can consist of bonds, shares, jewellery and investment ventures [18] In a stock portfolio the risk normally diminishes strongly with the first 15 20 stocks included. When more stocks are included the benefit from the diversification gradually diminishes [3]. In an information security portfolio the factors should be included which have the strongest impact on information security. In this way a company would be able to spread the investment in ISEC in a sensible way and also get a good return on the investment (ROI) I have named my approach: ISPA ....

Brealey, R.A. & Stewart C.M. Principles of Corporate Finance. McGraw-Hill. USA. 1991


Pareto Multi-Objective Non-Linear Regression - Modelling To Aid   (Correct)

No context found.

R.A. Brealey and S.C. Myers. Principles of Corporate Finance. McGraw-Hill, 5th edition, 1996.


Pareto Evolutionary Neural Networks - Jonathan Fieldsend Member   (Correct)

No context found.

R. Brealey and S. Myers, Principles of Corporate Finance, 5th ed. McGraw-Hill, 1996.


Pareto Multi-Objective Non-Linear Regression Modelling to .. - Jonathan Fieldsend And (2002)   (Correct)

No context found.

R.A. Brealey and S.C. Myers. Principles of Corporate Finance. McGraw-Hill, 5th edition, 1996.


Using the Economic Value of the Firm - As Basis For (2001)   (Correct)

No context found.

S. Brealey, and R. Myers, Principles of Corporate Finance, Irwin, McGraw-Hill, Boston, 2000


Keep Your Options Open: Extreme Programming and the.. - Erdogmus, Favaro (2003)   (Correct)

No context found.

R. Brealey, S. Myers. Principles of Corporate Finance. McGraw-Hill, 1987.


Pareto Multi-Objective Non-Linear Regression Modelling to .. - Jonathan Fieldsend And (2002)   (Correct)

No context found.

R.A. Brealey and S.C. Myers. Principles of Corporate Finance. McGraw-Hill, 5th edition, 1996.


Software Economics - Barry Boehm And   (Correct)

No context found.

. R.A. Brealey and S.C. Myers, Principles of Corporate Finance, 5 th edition, McGraw Hill, 1996.


Efficient Markets, Efficient Projects, and Predicting the Future - Favaro (2004)   (Correct)

No context found.

Brealey, R. and S. Myers, Principles of Corporate Finance, McGraw-Hill, 2000.


Investment Projects: An applicability analysis in Portugal - David, Abreu, Gomes (2002)   (Correct)

No context found.

Brealey, R. and Myers, S. (1996). Principles of Corporate Finance, McGraw Hill International Editions, Singapore.


Qualitative Reasoning Applications in Investment Decision-Making - Benaroch (1997)   (Correct)

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Brealey R.A., and Myers S.C., Principles of Corporate Finance (3rd edition), McGraw-Hill, 1988.


Considerations to Choose among Architecture Design.. - Asundi, Kazman, Klein (2001)   (Correct)

No context found.

Brealey, R. & Myers, S. Principles of Corporate Finance. New York: McGraw-Hill, 1981.


Managing Requirements For Business Value - Favaro (2002)   (Correct)

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R. Brealey and S.C. Myers, Principles of Corporate Finance, McGraw-Hill, New York, 2000.


The Design Of A Gdss For Project Analysis And.. - Costa, Melo, Godinho.. (1998)   (Correct)

No context found.

Brealey, R.; Myers, S. (1991), Principles of Corporate Finance, 4th Edition, McGraw-Hill.


Corporate-Wide Risk Management in Energy Business - Tirri (2001)   (Correct)

No context found.

Brealey, Richard A. & Myers, Stewart C. Principles of Corporate Finance. 1991, McGrawHill. ISBN 0-07-100756-3. 634 pages.

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