Corporate Finance
Corporate finance is an area of finance dealing with financial decisions business enterprises make and the tools and analysis used to make these decisions. The primary goal of corporate finance is to maximize corporate value while managing the firm's financial risks. Although it is in principle different from managerial finance which studies the financial decisions of all firms, rather than corporations alone, the main concepts in the study of corporate finance are applicable to the financial problems of all kinds of firms.
The discipline can be divided into long-term and short-term decisions and techniques. Capital investment decisions are long-term choices about which projects receive investment, whether to finance that investment with equity or debt, and when or whether to pay dividends to shareholders. On the other hand, the short term decisions can be grouped under the heading "Working capital management". This subject deals with the short-term balance of current assets and current liabilities; the focus here is on managing cash, inventories, and short-term borrowing and lending (such as the terms on credit extended to customers).
The terms corporate finance and corporate financier are also associated with investment banking. The typical role of an investment bank is to evaluate the company's financial needs and raise the appropriate type of capital that best fits those needs.
Capital investment decisions
Capital investment decisions are long-term corporate finance decisions relating to fixed assets and capital structure. Decisions are based on several inter-related criteria. (1) Corporate management seeks to maximize the value of the firm by investing in projects which yield a positive net present value when valued using an appropriate discount rate. (2) These projects must also be financed appropriately. (3) If no such opportunities exist, maximizing shareholder value dictates that management must return excess cash to shareholders (i.e., distribution via dividends). Capital investment decisions thus comprise an investment decision, a financing decision, and a dividend decision.
The investment decision
Main article: Capital budgetingManagement must allocate limited resources between competing opportunities (projects) in a process known as capital budgeting . Making this capital allocation decision requires estimating the value of each opportunity or project, which is a function of the size, timing and predictability of future cash flows.
Project valuation
Further information: Business valuation, stock valuation, and fundamental analysisIn general , each project's value will be 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 (applied to Corporate Finance by Joel Dean in 1951; see also Fisher separation theorem, John Burr Williams: theory). This requires estimating the size and timing of all of the incremental cash flows resulting from the project. Such future cash flows are then discounted to determine their present value (see Time value of money). These present values are then summed, and this sum net of the initial investment outlay is the NPV.
The NPV is greatly affected by the discount rate. Thus, identifying the proper discount rate - often termed, the project "hurdle rate" - is critical to making an appropriate decision. The hurdle rate is the minimum acceptable return on an investment—i.e. the project appropriate discount rate. The hurdle rate should reflect the riskiness of the investment, typically measured by volatility of cash flows, and must take into account the financing mix. Managers use models such as the CAPM or the APT to estimate a discount rate appropriate for a particular project, and use the weighted average cost of capital ( WACC ) to reflect the financing mix selected. (A common error in choosing a discount rate for a project is to apply a WACC that applies to the entire firm. Such an approach may not be appropriate where the risk of a particular project differs markedly from that of the firm's existing portfolio of assets.)
In conjunction with NPV, there are several other measures used as (secondary) selection criteria in corporate finance. These are visible from the DCF and include discounted payback period, IRR, Modified IRR, equivalent annuity, capital efficiency, and ROI (see list of valuation topics ).
Valuing flexibility
Main articles: Real options analysis and decision treeIn many cases, for example R&D projects, a project may open (or close) paths of action to the company, but this reality will not typically be captured in a strict NPV approach. Management will therefore (sometimes) employ tools which place an explicit value on these options. So, whereas in a DCF valuation the most likely or average or scenario specific cash flows are discounted, here the “flexibile and staged nature” of the investment is modelled, and hence "all" potential payoffs are considered. The difference between the two valuations is the "value of flexibility" inherent in the project.
The two most common tools are Decision Tree Analysis (DTA) and Real options analysis (ROA) ; they may often be used interchangeably:
- DTA values flexibility by incorporating possible events (or states) and consequent management decisions . (For example, a company would build a factory given that demand for its product exceeded a certain level during the pilot-phase, and outsource production otherwise. In turn, given further demand, it would similarly expand the factory, and maintain it otherwise. In a DCF model, by contrast, there is no "branching" - each scenario must be modelled separately.) In the decision tree, each management decision in response to an "event" generates a "branch" or "path" which the company could follow; the probabilities of each event are determined or specified by management. Once the tree is constructed: (1) "all" possible events and their resultant paths are visible to management; (2) given this “knowledge” of the events that could follow, management chooses the actions corresponding to the highest value path probability weighted; (3) then, assuming rational decision making, this path is taken as representative of project value. See Decision theory: Choice under uncertainty.
- ROA is usually used when the value of a project is contingent on the value of some other asset or underlying variable. (For example, the viability of a mining project is contingent on the price of gold; if the price is too low, management will abandon the mining rights, if sufficiently high, management will develop the ore body. Again, a DCF valuation would capture only one of these outcomes.) Here: (1) using financial option theory as a framework, the decision to be taken is identified as corresponding to either a call option or a put option; (2) an appropriate valuation technique is then employed - usually a variant on the Binomial options model or a bespoke simulation model, while Black Scholes type formulae are used less often - see Contingent claim valuation. The "true" value of the project is then the NPV of the "most likely" scenario plus the option value.
Quantifying uncertainty
Further information: Sensitivity analysis, Scenario planning, and Monte Carlo methods in financeGiven the uncertainty inherent in project forecasting and valuation , analysts will wish to assess the sensitivity of project NPV to the various inputs (i.e. assumptions) to the DCF model. In a typical sensitivity analysis the analyst will vary one key factor while holding all other inputs constant, ceteris paribus . The sensitivity of NPV to a change in that factor is then observed, and is calculated as a "slope": ΔNPV / Δfactor. For example, the analyst will determine NPV at various growth rates in annual revenue as specified (usually at set increments, e.g. -10%, -5%, 0%, 5%....), and then determine the sensitivity using this formula. Often, several variables may be of interest, and their various combinations produce a "value-surface" (or even a "value-space"), where NPV is then a function of several variables. See also Stress testing.
Using a related technique, analysts also run scenario based forecasts of NPV. Here, a scenario comprises a particular outcome for economy-wide, "global" factors (demand for the product, exchange rates, commodity prices, etc...) as well as for company-specific factors (unit costs, etc...). As an example, the analyst may specify specific growth scenarios (e.g. 5% for "Worst Case", 10% for "Likely Case" and 25% for "Best Case"), where all key inputs are adjusted so as to be consistent with the growth assumptions, and calculate the NPV for each. Note that for scenario based analysis, the various combinations of inputs must be internally consistent , whereas for the sensitivity approach these need not be so. An application of this methodology is to determine an "unbiased" NPV, where management determines a (subjective) probability for each scenario – the NPV for the project is then the probability-weighted average of the various scenarios.
A further advancement is to construct stochastic or probabilistic financial models – as opposed to the traditional static and deterministic models as above. For this purpose, the most common
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Corporate finance is an area of finance dealing with financial decisions business enterprises make and the tools and analysis used to make these decisions.