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Risk-Based Valuation: A Framework for Capital-Constrained Firms - Prof. James Bridgeman, Study Guides, Projects, Research of Mathematics

A tutorial and academic paper by david c. Shimko on risk-based valuation, focusing on the challenges of using the capital asset pricing model (capm) for capital-constrained firms. The paper discusses the importance of idiosyncratic risk, correlated cash flows, and the use of simulation as a unifying framework for valuing projects in capital-constrained environments. It covers topics such as risk-neutrality, time-neutrality, and the derivation of pricing formulae with idiosyncratic risk.

Typology: Study Guides, Projects, Research

2009/2010

Uploaded on 02/25/2010

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I N T E R N AT I O N A L A S S O C I AT I O N O F F I N A N C I A L E NG IN EE RS PR ES EN TS :
A N IA FE P RA C T I T I O N E R A N D A C A D E M I C M EM BE RS O N LY T UT O R I AL
N OVE MB ER 1 0, 2 0 09
N E W YO RK
P RE S E N T ED BY
DAV I D C . S HI MKO
P HD. , M D A N D C RO,
N E WOA K C A PI TA L L L C
M E M BE R, B OA R D OF T RU ST EE S, G LO BA L A S S O C I AT I O N O F RI SK
P R O F E S S I O N A L S
DAV I D C . S H I M K O
D AV I D . S H I M KO @ G M A I L . C O M
Risk-Based Valuation
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Download Risk-Based Valuation: A Framework for Capital-Constrained Firms - Prof. James Bridgeman and more Study Guides, Projects, Research Mathematics in PDF only on Docsity!

I N T E R N AT I O N A L A S S O C I AT I O N O F F I N A N C I A L E N G I N E E R S P R E S E N T S :

A N I A F E P R A C T I T I O N E R A N D A C A D E M I C M E M B E R S O N L Y T U T O R I A L

N O V E M B E R 1 0 , 2 0 0 9

N E W Y O R K

P R E S E N T E D B Y

D AV I D C. S H I M K O

P H D. , M D A N D C R O ,

N E W O A K C A P I T A L L L C

M E M B E R , B O A R D O F T R U S T E E S , G L O B A L A S S O C I AT I O N O F R I S K

P R O F E S S I O N A L S

D AV I D C. S H I M K O

D AV I D. S H I M K O @ G M A I L. C O M

Risk-Based Valuation

Statement of the problem 2  The CAPM-based capital budgeting theory does not work for capital- constrained firms  Idiosyncratic risk may be costly  Cash flows in different periods may be correlated  (this matters if idiosyncratic risk matters)  Benchmarks and comparables should be used when available  Using forwards in a CAPM context can be challenging  Options and other nonlinear relationships are difficult to include  Some CAPM parameters are unknown  (e.g. correlation between project and market return )  Project data normally occur in prices and levels, not returns  Firms lack an integrated and consistent framework for valuing projects in capital-constrained environments.  This presentation uses simulation as a unifying framework to achieve this objective

Simplest case: Obtaining the CAPM

4  One-year project  Simulated levels of cash flow (C 1 ) and market index (M 1 )  Regress C 1 on M 1  C 1 = [C – LM] + LM 1 +   (note L is in levels not returns; L=cov(C 1 ,M 1 )/var(M 1 ))  Discount risk-free and market-correlated cash flows assuming residual risk is unpriced  V 0 = [C – LM]/(1+rf) + LM 0 + 0 Replication pricing  V 0 = [C – L{M – M 0 (1+rf)}]/(1 + rf) Risk-neutral pricing  V 0 = C/(1+rf) – L{M/(1+rf) – M 0 } Time-neutral pricing  Substitute  L = V 0 /M 0 , C 1 = V 0 (1+rV), M 1 =M 0 (1+rM) Convert levels to returns  E(rV) = rf + (E(rM) – rf) CAPM expected return eq.  V 0 = C/(1+E(rV)) CAPM valuation

Equiv

Valuing a one-year oil project using forwards 5  W=WTI (West Texas Intermediate Crude Oil)  Simulated levels of cash flow (C 1 ) and oil prices (W 1 )  Cash flow depends on revenues and costs, both of which are functions of oil prices  Regress C 1 on W 1  C 1 = [C – LW] + LW 1 +   Discount risk-free and oil-correlated cash flows assuming residual risk is unpriced and F W = forward price of oil  V 0 = [C – LW]/(1+rf) + LFW/(1+rf) Replication  V 0 = [C – L{W – FW}]/(1+rf) Risk-neutral  Equivalent to time-neutral valuation if FWFW/(1+rf)  Q: What if the relationship between C and W is nonlinear?

Adapting a general valuation equation 7  Every asset satisfies the general valuation equation GVE  Expected return = Required return  {Exp capital gain} + Exp cash flow = Cash opportunity cost + Risk compensation  {E[Vt+1 ] – Vt}+ E[Ct+1] = r Vt + k Rt+1 at all times t  In the CAPM example presented earlier, the risk compensation simplifies to  k Rt+1 = (E(rM) – rf) V 0 = L[M – (1+rf)M 0 ]  If we move the cost of risk (kR t+ ) to the left side of the GVE equation, we obtain risk-neutrality  The time-neutral transformation of cash flows is achieved by discounting all the cash flows and risk measures at the riskless rate and then using an effective riskless rate of 0.  Test: Discount cash flows and risk measures at the riskless rate in the GVE and apply a zero discount rate  E[Vt+1 ]/(1+r) – Vt + E[Ct+1]/(1+r) = 0 + k Rt+1/(1+r)  Multiplying by (1+r) and rearranging terms, this produces the original GVE

Pricing idiosyncratic risk 8  Normally distributed cash flow C 1 in one year ( C , C )  Apply the GVE:  {C – V 0 } + 0 = rfV 0 + kC  V 0 = [C – kC] /(1 + rf)  Expected return equation  E(rV) = rf + kC/V 0  Same cash flow, but now correlated with the market  Apply the GVE:  {C – V 0 } + 0 = rfV 0 + L[M – (1+rf)M 0 ] + k  V 0 = [C – L[M – (1+rf)M 0 ] – k] /(1 + rf)  The expected return equation  E(rV) = rf + [E(rM) – rf] + k/V 0

Properties of these models 10  Idiosyncratic risk matters  hedging adds value  Correlations between cash flow periods matter  Ordering of cash flows matters  Values are non-additive  a negative NPV incremental project can add value  Easy to add market factors (multifactor risk)  Easy to include option-like payoffs

Determining the private cost of risk (k) 11  k is a measure of the adverse impact caused by increased risk  If an agent accepts a contract or purchases an asset, the incremental risk will generally  Add to the risk of the agent’s cash flow  Increase the risk of declines in future wealth  Increase the likelihood of financial distress or bankruptcy  The value of k is chosen on the margin so the agent is compensated for the cost to his income statement or balance sheet.  Example  Suppose each additional $100,000 of risk increases the likelihood of financial distress by 5%, and the cost of financial distress is $250,000. In this case k = expected loss per dollar of risk = (5% of $250,000)/100,000 = 12.5%.  Most financial institutions have determined an explicit cost of risk which they use in their valuations of financial assets and contracts.