"What If" Analyses in Investment Decision Making

Katarína Belanová

doi:10.5817/FAI2012-3-1

"What If" Analyses in Investment Decision Making

Vol.3,No.3(2012)

Katarína Belanová

https://doi.org/10.5817/FAI2012-3-1

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Abstract

In general, each project`s value is estimated using a discounted cash flow (DCF) valuation, and the opportunity with the highest value, as measured by the resultant net present value (NPV) will be selected. The problem with such NPV estimates is that they depend on projected future cash flows. If there are errors in those projections, then estimated net present values can be misleading (a forecasting risk). Basic approach to evaluating cash flow and NPV estimates involves asking “what – if” questions. Accordingly, the paper discusses some organized way s of going about a what – if analysis. Its goal in doing so is to assess the degree of forecasting risk and to identify those elements that are the most critical to the success or failure of an investment. However, as we show in examples, as well as in the practical study, though what – if analysis really allows us to obtain the certain idea of degree of forecasting risk, it does not tell us what to do about the possible errors.

Keywords:
forecasting risk; net present value; discounted cash flow valuation; scenario analysis; sensitivity analysis; simulation analysis

References

Belanová, K. (2009) Teória a politika podnikateľských financií (zbierka príkladov), Vydavateľstvo EKONÓM, Bratislava, ISBN 978-80-225-2714-9.

Belanová, K. (2010) Teória a politika podnikateľských financií (praktikum), Vydavateľstvo EKONÓM, Bratislava, ISBN 978-80-225-3109-2.

Campolongo, F. (2000) Sensitivity analysis as an ingredient of modeling, Statistical Science. Vol. 4, pp. 377-395. https://doi.org/10.1214/ss/1009213004

Connor, G. (2010) Portfolio Risk Analysis. Princeton University Press, New Yersey. ISBN 978-08-050-9134-2.

Chan, K. (2007) A quantitative, model independent method for global sensitivity analysis of model output. Technometrics. Vol. 1, pp. 39-56.

Chun, B. J. (1992) Scenario Analysis modeling and Decomposition methods for optimization under uncertainty. University of Wisconsin (dissertation), Madison.

Danielsson, J. (2011) Financial Risk Forecasting, Wiley, Chichester. ISBN 978-0-470-66943-3.

Hnilica, J, and Fotr, J. (2009) Aplikovaná analýza rizika ve finančním managementu a investičním rozhodování, Grada Publishing, Praha. ISBN 978-80-247-2560-4.

Law, A. (2006) Simulation Modeling and Analysis, McGraw Hill, N.Y. ISBN 978-0-072-98843- 7.

Saltelli, A. (1999) Sensitivity analysis. Could better methods be used? Journal of Geophysical Research. Vol. 3, pp. 3789–3793. https://doi.org/10.1029/1998JD100042

Saltelli, A. (2000) Handbook of Sensitivity Analysis. Wiley, Chichester. ISBN 978-0-471-99892-1.

Saltelli, A. (2004) Sensitivity Analysis in Practice: A guide to assessing scientific models. Wiley, Chichester. ISBN 0-470-87093-1.

Saltelli, A. (2007) Sensitivity Analysis. Wiley, Chichester. ISBN 978-0-470-74382-9.

Škrovánková, P. (2007) Spojité stochastické modely v zdravotnom a nemocenskom poistení. Štatistické metódy v ekonómii (Conference proceedings), Bratislava ES EU, pp. 65-72.