Corporate finance
| Corporate finance
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| Working capital management Cash conversion cycle |
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| Capital budgeting Capital investment decisions |
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| Sections Managerial finance |
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| Finance series Financial market |
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Corporate finance is an area of finance dealing with the financial decisions corporations make and the tools and analysis used to make these decisions. The primary goal of corporate finance is to maximize corporate value while reducing 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 banker is to evaluate company's financial needs and raise the appropriate type of capital that best fits those needs.
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Capital investment decisions
Capital investment decisions [1] are long-term corporate finance decisions relating to fixed assets and capital structure. Decisions are based on several inter-related criteria. 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. These projects must also be financed appropriately. If no such opportunities exist, maximizing shareholder value dictates that management return excess cash to shareholders. Capital investment decisions thus comprise an investment decision, a financing decision, and a dividend decision.
The investment decision
Management 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: a function of the size, timing and predictability of future cash flows.
Project valuation
- Further information: stock valuation and fundamental analysis
In 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. These 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 influenced by the discount rate. Thus selecting the proper discount rate—the project "hurdle rate"—is critical to making the right 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 payback period, IRR, Modified IRR, equivalent annuity, capital efficiency, and ROI; see list of valuation topics.
Valuing flexibility
In 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):
- DTA values flexibility by incorporating possible events (or states) and consequent management decisions. 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) (assuming rational decision making) this path is then taken as representative of project value. See Decision theory: Choice under uncertainty. (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.)
- ROA is used when the value of a project is contingent on the value of some other asset or underlying variable. Here, 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 - valuation is then via the Binomial model or, less often for this purpose, via Black Scholes; see Contingent claim valuation. The "true" value of the project is then the NPV of the "most likely" scenario plus the option value. (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.)
Quantifying uncertainty
- Further information: Sensitivity analysis, Scenario planning, and Monte Carlo methods in finance
Given 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 (calculated as Δ NPV / Δ factor). For example, the analyst will set annual revenue growth rates at 5% for "Worst Case", 10% for "Likely Case" and 25% for "Best Case" - and produce three corresponding NPVs.
Using a related technique, analysts may also run scenario based forecasts so as to observe the value of the project under various outcomes. Under this technique, a scenario comprises a particular outcome for economy-wide, "global" factors (exchange rates, commodity prices, etc...) as well as for company-specific factors (revenue growth rates, unit costs, etc...). Here, extending the example above, key inputs in addition to growth are also adjusted, and NPV is calculated for the various scenarios. Analysts then plot these results to produce a "value-surface" (or even a "value-space"), where NPV is a function of several variables. Another 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. 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.
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 method is to use Monte Carlo simulation to analyze the project’s NPV. This method was introduced to finance by David B. Hertz in 1964, although has only recently become common; today analysts are even able to run simulations in spreadsheet based DCF models, typically using an add-in, such as Crystal Ball.
Uisng simulation, the cash flow components that are (heavily) impacted by uncertainty are simulated, mathematically reflecting their "random characteristics". The simulation produces several thousand trials (in contrast to the scenario approach above) and outputs a histogram of project NPV. The average NPV of the potential investment - as well as its volatility and other sensitivities - is then observed. This histogram provides information not visible from the static DCF: for example, it allows for an estimate of the probability that a project has a net present value greater than zero (or any other value). See: Monte Carlo Simulation versus “What If” Scenarios.
Here, continuing the above example, instead of assigning three discrete values to revenue growth, the analyst would assign an appropriate probability distribution (commonly triangular or beta). This distribution - and that of the other sources of uncertainty - would then be "sampled" repeatedly so as to generate the several thousand realistic (but random) scenarios, and the output is a realistic, representative set of valuations. The resultant statistics (average NPV and standard deviation of NPV) will be a more accurate mirror of the project's "randomness" than the variance observed under the traditional scenario based approach.
The financing decision
Achieving the goals of corporate finance requires that any corporate investment be financed appropriately. As above, since both hurdle rate and cash flows (and hence the riskiness of the firm) will be affected, the financing mix can impact the valuation. Management must therefore identify the "optimal mix" of financing—the capital structure that results in maximum value. (See Balance sheet, WACC, Fisher separation theorem; but, see also the Modigliani-Miller theorem.)
The sources of financing will, generically, comprise some combination of debt and equity. Financing a project through debt results in a liability that must be serviced—and hence there are cash flow implications regardless of the project's success. Equity financing is less risky in the sense of cash flow commitments, but results in a dilution of ownership and earnings. The cost of equity is also typically higher than the cost of debt (see CAPM and WACC), and so equity financing may result in an increased hurdle rate which may offset any reduction in cash flow risk.
Management must also attempt to match the financing mix to the asset being financed as closely as possible, in terms of both timing and cash flows.
One of the main theories of how firms make their financing decisions is the Pecking Order Theory, which suggests that firms avoid external financing while they have internal financing available and avoid new equity financing while they can engage in new debt financing at reasonably low interest rates. Another major theory is the Trade-Off Theory in which firms are assumed to trade-off the tax benefits of debt with the bankruptcy costs of debt when making their decisions. An emerging area in finance theory is right-financing whereby investment banks and corporations can enhance investment return and company value over time by determining the right investment objectives, policy framework, institutional structure, source of financing (debt or equity) and expenditure framework within a given economy and under given market conditions. One last theory about this decision is the Market timing hypothesis which states that firms look for the cheaper type of financing regardless of their current levels of internal resources, debt and equity.
The dividend decision
The dividend is calculated mainly on the basis of the company's unappropriated profit and its business prospects for the coming year. If there are no NPV positive opportunities, i.e. where returns exceed the hurdle rate, then management must return excess cash to investors. These free cash flows comprise cash remaining after all business expenses have been met.
This is the general case, however there are exceptions. For example, investors in a "Growth stock", expect that the company will, almost by definition, retain earnings so as to fund growth internally. In other cases, even though an opportunity is currently NPV negative, management may consider “investment flexibility” / potential payoffs and decide to retain cash flows; see above and Real options.
Management must also decide on the form of the distribution, generally as cash dividends or via a share buyback. There are various considerations: where shareholders pay tax on dividends, companies may elect to retain earnings, or to perform a stock buyback, in both cases increasing the value of shares outstanding; some companies will pay "dividends" from stock rather than in cash; see Corporate action. Today, it is generally accepted that dividend policy is value neutral (see Modigliani-Miller theorem).
Working capital management
Decisions relating to working capital and short term financing are referred to as working capital management. These involve managing the relationship between a firm's short-term assets and its short-term liabilities. The goal of Working capital management is to ensure that the firm is able to continue its operations and that it has sufficient cash flow to satisfy both maturing short-term debt and upcoming operational expenses.
Decision criteria
Working capital is the amount of capital which is readily available to an organization. That is, working capital is the difference between resources in cash or readily convertible into cash (Current Assets) and cash requirements (Current Liabilities). So the decisions relating to working capital are always current decisions, i.e., short term decisions.
The short term decisions of the firm are similar to those of long term in terms of risk and return, but they differ in many other ways like time factor, discounting consideration, liquidity etc. So these decisions are not taken on the same basis as long term decisions. These decisions have different criteria like cash flow and profitability.
- The most important criterion for making short term decisions is cash flows. And the best measure of cash flow is net operating cycle or cash conversion cycle. It represents the time difference between cash payment for raw materials and cash collection for sales. Another aspect of cash conversion cycle is gross operating cycle which is same as net operating cycle except the fact that it does not take into account the creditors deferral period. Cash conversion cycle indicates the firm's ability to convert its resources into cash. Because this number effectively corresponds to the time that the firm's cash is tied up in operations and unavailable for other activities, management generally aims at a low net count.
- In this context, the most useful measure of profitability is Return on capital (ROC). The result is shown as a percentage, determined by dividing relevant income for the 12 months by capital employed; Return on equity (ROE) shows this result for the firm's shareholders. Firm value is enhanced when, and if, the return on capital, which results from working capital management, exceeds the cost of capital, which results from capital investment decisions as above. ROC measures are therefore useful as a management tool, in that they link short-term policy with long-term decision making. See Economic value added (EVA).
Management of working capital
Guided by the above criteria, management will use a combination of policies and techniques for the management of working capital. These policies aim at managing the current assets (generally cash and cash equivalents, inventories and debtors) and the short term financing, such that cash flows and returns are acceptable.
- Cash management. Identify the cash balance which allows for the business to meet day to day expenses, but reduces cash holding costs.
- Inventory management. Identify the level of inventory which allows for uninterrupted production but reduces the investment in raw materials - and minimizes reordering costs - and hence increases cash flow; see Supply chain management; Just In Time (JIT); Economic order quantity (EOQ); Economic production quantity (EPQ).
- Debtors management. Identify the appropriate credit policy, i.e. credit terms which will attract customers, such that any impact on cash flows and the cash conversion cycle will be offset by increased revenue and hence Return on Capital (or vice versa); see Discounts and allowances.
- Short term financing. Identify the appropriate source of financing, given the cash conversion cycle: the inventory is ideally financed by credit granted by the supplier; however, it may be necessary to utilize a bank loan (or overdraft), or to "convert debtors to cash" through "factoring".
Financial risk management
Risk management is the process of measuring risk and then developing and implementing strategies to manage that risk. Financial risk management focuses on risks that can be managed ("hedged") using traded financial instruments (typically changes in commodity prices, interest rates, foreign exchange rates and stock prices). Financial risk management will also play an important role in cash management.
This area is related to corporate finance in two ways. Firstly, firm exposure to business risk is a direct result of previous Investment and Financing decisions. Secondly, both disciplines share the goal of creating, or enhancing, firm value. All large corporations have risk management teams, and small firms practice informal, if not formal, risk management.
Derivatives are the instruments most commonly used in Financial risk management. Because unique derivative contracts tend to be costly to create and monitor, the most cost-effective financial risk management methods usually involve derivatives that trade on well-established financial markets. These standard derivative instruments include options, futures contracts, forward contracts, and swaps.
- See: Financial engineering; Financial risk; Default (finance); Credit risk; Interest rate risk; Liquidity risk; Market risk; Operational risk; Volatility risk; Settlement risk.
Relationship with other areas in finance
Investment banking
Use of the term “corporate finance” varies considerably across the world. In the United States it is used, as above, to describe activities, decisions and techniques that deal with many aspects of a company’s finances and capital. In the United Kingdom and Commonwealth countries, the terms “corporate finance” and “corporate financier” tend to be associated with investment banking - i.e. with transactions in which capital is raised for the corporation.[2]
Personal and public finance
Corporate finance utilizes tools from almost all areas of finance. Some of the tools developed by and for corporations have broad application to entities other than corporations, for example, to partnerships, sole proprietorships, not-for-profit organizations, governments, mutual funds, and personal wealth management. But in other cases their application is very limited outside of the corporate finance arena. Because corporations deal in quantities of money much greater than individuals, the analysis has developed into a discipline of its own. It can be differentiated from personal finance and public finance.
Related professional qualifications
Qualifications related to the field include:
- Finance qualifications: Masters degree in Finance (MSF), Chartered Financial Analyst (CFA), Corporate Finance Qualification (CF), Certified International Investment Analyst(CIIA), Association of Corporate Treasurers (ACT), Certified Market Analyst (CMA/FAD) Dual Designation, Master Financial Manager (MFM), Master of Finance & Control (MFC), Certified Treasury Professional(CTP)Association for Financial Professionals.
- Business qualifications: Master of Business Administration (MBA), Master of Commerce (M Comm), Doctor of Business Administration (DBA), Certified Business Manager (CBM)
- Accountancy qualifications:
- Qualified accountant: Certified Public Accountant (CPA), Chartered Certified Accountant(ACCA), Chartered Management Accountant (CIMA), Chartered Accountant (ACA)
- Non-statutory qualifications: Chartered Cost Accountant (CCA Designation from AAFM), Certified Management Accountant (CMA),
References
- ↑ The framework for this section is based on Notes by Aswath Damodaran at New York University's Stern School of Business
- ↑ Beaney, Shaun, "Defining corporate finance in the UK", The Institute of Chartered Accountants, April 2005
See also
- Financial modeling
- Business organizations
- Financial planning
- Investment bank
- Managerial economics
- Private equity
- Real option
- Venture capital
- Right-financing
- Factoring (finance)
- Global Squeeze
- Related topics by category:
- List of accounting topics
- List of corporate finance topics
- List of valuation topics
- List of finance topics
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