This document outlines various methods for valuing securities in complex capital structures, including:
1) The Current Value Method (CVM), Probability Weighted Expected Return Method (PWERM), and Option Pricing Method (OPM) for allocating enterprise value across different securities.
2) Methods for estimating enterprise value, including the income, market, and asset approaches.
3) Examples of applying the PWERM and OPM methods to a sample company with different classes of stock.
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Valuing securities in complex capital structures - Baker Tilly presentation
1. Baker Tilly refers to Baker Tilly Virchow Krause, LLP,
an independently owned and managed member of Baker Tilly International. 息 2010 Baker Tilly Virchow Krause, LLP
Valuing Securities in Complex Capital Structures
January 13, 2016
Presented by:
Paul Daddio, CFA, ASA
Senior Manager
703-923-8562
paul.daddio@bakertilly.com
2. Presentation Outline
The Cheap Stock Guide
Estimating enterprise value
Allocating enterprise value
Backsolve Method
Debt
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Presentation Outline
3. Valuation of Privately Held Company Equity Securities
Issued as Compensation (the Cheap Stock Guide)
Developed by AICPA staff and the Equity Securities Task
Force.
Originally issued in 2004 with an updated version released
in 2013.
Developed relative to ASC 718, CompensationStock
Compensation. However, applicable for a wide variety of
contexts
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The Cheap Stock Guide
4. Estimating Enterprise Value
1. Income Approach
Discounted Cash Flow Method (DCF Method)
Capitalization of Cash Flow Method
2. Market Approach
Merged and Acquired Company Method (M&A Method)
Guideline Publicly Traded Company Method (GPTC
Method)
3. Asset Approach
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Estimating Enterprise Value
5. Allocating Enterprise Value
1. Current Value Method (CVM)
2. Probability Weighted Expected Return Method (PWERM)
3. Option Pricing Method (OPM)
Black-Scholes Option Pricing Method (BSM)
Binomial Option Pricing Model (BOPM or Lattice Model)
4. Hybrid Method
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Allocating Enterprise Value
6. Current Value Method (CVM)
CVM Overview
Waterfall of enterprise value across capital structure
Used only to allocate value across the securities, not to estimate enterprise
value.
Used under two circumstances:
Company is in very early stages of development
A liquidity event is imminent
CVM Steps
1. Estimate enterprise value
2. Allocate value based on simple waterfall
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7. Complex Capital Structures:
Payoff Diagram Example
Company: XYZ, Inc.
> Equity securities: (a) 60,000 shares of common stock and (b) 40,000 shares of convertible preferred stock having total liquidation preference of
$7.5 million (non-participating, convertible to common shares at a 1:1 ratio).
> Projected sale of the company: 3 years after valuation date.
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8. Probability Weighted Expected Return
Method (PWERM)
PWERM Overview
Similar to CVM in that it uses waterfall approach, but applies
across multiple scenarios
Can be used to estimate enterprise value and allocate value
across securities
Appropriate when management can reasonably predict
potential exit outcomes and exit is expected to occur in the
relatively near term
Generally not considered appropriate for valuing options,
profits interests, or warrants
Not considered appropriate for early stage companies
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9. PWERM Steps:
1. Select exit scenarios
2. Estimate future enterprise values for each scenario
3. Waterfall future enterprise values
4. Discount future cash flow to subject investments to present
value
5. Assign probabilities to each scenario value
6. Estimate share value by summing the probability-weighted
outcome of each scenario
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Probability Weighted Expected Return
Method (PWERM)
10. PWERM (cont.)
Payoff Diagram Example
Company: XYZ, Inc.
> Equity securities: (a) 60,000 shares of common stock and (b) 40,000 shares of convertible preferred stock having total liquidation preference of
$7.5 million (non-participating, convertible to common shares at a 1:1 ratio).
> Projected sale of the company: 3 years after valuation date.
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11. PWERM (cont.)
PWERM Example: XYZ, Inc.
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XYZ, Inc.
PWERM Analysis
$ in 000s, except per share amounts
Scenario ($ in 000s) I. M&A Sale High II. M&A Sale Low III. Dissolution
Probability of Liquidity Event 45% 45% 10%
Time to Liquidity (year) 3.0 3.0 3.0
Enterprise Value at Liquidity Event 25,000$ 10,000$ 3,000$
less : Net Debt at Liquidity Event - - -
Equity Value 25,000$ 10,000$ 3,000$
Distribution per Share (Future Value) I. M&A Sale High II. M&A Sale Low III. Dissolution
Series A Convertible Preferred Stock 250.00$ 187.50$ 75.00$
Common Stock 250.00$ 41.67 -
Discount rate 40% 40% 40%
Present Value Factor 0.364 0.364 0.364
Fair Value per Share
Distributions per Share (Present Value) (probability-weighted)
Series A Convertible Preferred Stock 91.11$ 68.33$ 27.33$ 74.48$
Common Stock 91.11$ 15.18$ -$ 47.83$
12. The Option Pricing Method (OPM)
OPM Overview
Two methods:
Black-Scholes Option Pricing Method (BSM)
Binomial Option Pricing Method (BOPM or Lattice Method)
OPM is used to allocate value, not estimate enterprise value (unless
can backsolve)
BSM is generally more commonly applied than BOPM
OPM is most appropriate when little visibility to exit
Think of an BSM as a PWERM with infinite exit scenarios and
BOPM as PWERM with a ton of exit scenarios
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13. OPM (cont.)
BSM Steps:
1. Estimate enterprise or equity value (using income / market /
asset approach)
2. Determine strike price for each option tranche
3. Estimate projected exit date (sale of company, IPO)
4. Determine other key inputs for the Black-Scholes formulas
Volatility
Risk-free discount rate
Dividend yield
5. Calculate value for each tranche using Black-Scholes
6. Allocate value of each tranche across the capital structure of
the company
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14. OPM (cont.)
Payoff Diagram Example
Company: XYZ, Inc.
> Equity securities: (a) 60,000 shares of common stock and (b) 40,000 shares of convertible preferred stock having total liquidation preference of
$7.5 million (non-participating, convertible to common shares at a 1:1 ratio).
> Projected sale of the company: 3 years after valuation date.
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15. OPM (cont.)
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OPM Example: XYZ, Inc. (figure 1 of 2)
XYZ, Inc.
OPM: Indication of Option Values
$ in 000s
Equity value is $0
Tranche 1
preferred stock
receives
liquidation
preference
preferred stock
converts
to common stock
Tranche 3
Value of Equity [a] 5,000$ 5,000$ 5,000$
Exercise Price [b] -$ 7,500$ 18,750$
Years until exit [c] 3.0 3.0 3.0
Volatility [d] 60% 60% 60%
Dividend Rate [e] 0% 0% 0%
Discount Rate [f] 0.88% 0.88% 0.88%
Call option value 5,000$ 1,536$ 544$
Incremental value of options 3,464$ 992$ 544$
Footnote:
[f] Discount rate is based on treasury yield as of the Valuation Date with maturity equal to term.
[a] Total equity value of the Company.
[b] Exercise price is derived based on enterprise value at which the given security would reach their liquidation
preference or at which a holder of the security would opt to convert.
[c] Expriation is based on Company management's assumption of exit scenario timeline, market analysis, and
[d] Volatility is the estimated annual standard deviation of the Company's equity value, as estimated based on the
annual standard deviations observed for the guideline publicly traded companies selected.
[e] Based on management's projections.
16. OPM (cont.)
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OPM Example: XYZ, Inc. (figure 2 of 2)
XYZ, Inc.
OPM: Indication of Option Values
$ in 000s
Tranche 1 - 2 Tranche 2 - 3 Tranche 3 - 4 Total
Fair Value Per
Share
Liquidation Preference ($000s) / Shares
Liquidation
Preference Shares Shares
Series A Convertible Preferred Stock 7,500$ 0 40,000
Common Stock 0 60,000 60,000
Total 7,500$ 60,000 100,000
% of Liquidation Preference / Shares
Series A Convertible Preferred Stock 100.0% 0.0% 40.0%
Common Stock 0.0% 100.0% 60.0%
Total 100.0% 100.0% 100.0%
Allocation of Value ($000s, except per share)
Series A Convertible Preferred Stock 3,464$ -$ 218$ 3,682$ $92.05
Common Stock - 992 326 1,318 $21.97
Total 3,464$ 992$ 544$ 5,000$
17. Binomial Option Pricing Model
(BOPM or Lattice Model)
Lattice Model
Essentially the same conceptually as BSM
(same inputs as well)
Models future value as progression of value
nodes from valuation date to exit. Value equals
probability weighted PV of exit values.
Strength: good for modeling discrete events
(real options, financing rounds, etc.)
Weakness: assumptions regarding the terms and
conditions of future financing rounds are difficult to
estimate
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19. PWERM Strengths and Weaknesses
PWERM
Strengths:
> Good for estimating value when reasonably good visibility to an exit
> More directly models investment exit outlook than OPM
> Aligns with the boom or bust dichotomy of certain types of
companies
Weaknesses:
> Highly subjective inputs
> Not a lot of standardized guidance
> Prone to management bias needs to be validated with empirical
market evidence
> Requires handicapping future events requiring estimation / guessing
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20. OPM
Strengths:
> Good for estimating value when outcomes are difficult to estimate
> Inputs can be audited
> Better than PWERM at valuing options
> Fair amount of standardized guidance
Weaknesses:
> Doesnt model skewed distributions well
> Less intuitive for the layperson / client than PWERM
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OPM Strengths and Weaknesses
21. Hybrid Method
The Hybrid Method
The Hybrid Method utilizes the PWERM, using
the OPM to allocate value within one or more
scenarios
Useful when company has transparency into one
or more near term exits, but unsure about what
will occur if those dont obtain.
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22. Backsolve Method
Backsolve Method
Uses transaction in a security to value the other
securities issued by the company
Can be applied under OPM or PWERM
Value of the enterprise is imputed from security
transaction price
Caveats; may not be appropriate if
Non-arms length
Strategic investment
Backsolve Method should be supported by
other methodologies
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23. Debt
Debt:
Valuing debt is critical to valuing equity
Yield Method
Value of debt = present value of all cash flows discounted at a market
yield.
Market yield estimated using synthetic rating analysis
Yield on the debt when originally issued is used as baseline (if arms
length).
Yield at original issuance date = risk-free rate + credit spread +
subordination premium / company-specific risk premium
OPM
Applicable for companies with extreme leverage
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