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Summary Financial Distress and Corporate Restructuring

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Summary of the MSc Finance & Investment Elective: Financial distress & Corporate restructuring

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  • June 15, 2023
  • June 16, 2023
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Summary Financial Distress and Corporate Restructuring


Lecture 1
Basic terminology
 Economic distress: firms generating low or negative operating income and/or have problematic
business model
 Financial distress: a company is unable to generate enough revenue to meet financial obligations.
o Economic distress is frequently leading to financial distress
o Bankruptcy is often used as an empirical indicator of financial distress
 Typically, economic and financial distress occur simultaneously (but they are different concepts!)

Insolvency
 Technical insolvency: a firm is unable to meet it debt as they come due
 Balance sheet insolvency: total liabilities exceed value of assets (real net firm worth is negative)

Default: a borrower violates an agreement with creditor as specified in the contract with the lender
- Technical default: borrower violates a provision other than a scheduled payment
- Formal default: borrower misses interest or principle payment
Bankruptcy: a firm enters a court-supervised bankruptcy procedure

Basis terminology – restructuring (for this course we mainly focus on equity and liability side)




The value of conceptual understanding
A basic financial problem.
- Assume that the current market interest rate for lending or depositing is 10%
- What is the value of 100 EUR in one year?
- How much is a payment of 100 EUR in one year worth today?




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What is happening here conceptually?

The present value concept
 In finance, we see the world from the perspective of cash-flows
 We frequently assume no-arbitrage
 We try to determine the value of those cash-flows under different circumstances (time, risk and/or
state of the economy) > we adjust the value of cash flows (discount rates)

,The present value of a perpetuity
 A perpetuity is a stream of cash-flows until infinity




A (simple) stochastic model for finance

Stock return modelling
 Stock returns can be seen as random variables
 Random variables have a probability distribution
o Discrete random variables (e.g., throwing a dice)
o Continuous random variables (e.g., stock return)
 Random variables can be characterized using statistical measures
o Expected value (e.g., expected value of throwing a dice is 3.5; estimate is sample average
o Standard deviation (volatility) – amount of variation or dispersion of a set of values (e.g.,
stock return has standard deviation of 0.1)

Different values of the standard deviation Normal distribution




Basic security pricing theory
 Standard finance theory: discount future cash-flows with a discount factor
 Example:
o Discounted cash flow method
o Gordon growth model (pricing stocks)
 The reason why we use a discount factor is that future payments from a security/firm are
uncertain/risky (otherwise, we use the risk-free rate as a discount factor) > discount rate
components: time-value + risk-correction (see e.g., CAPM)

,  Mathematically, we think about future cash-flows as random variables that have a probability
distribution
Example: stock price as sum of all future dividend payments:
 Here, dividends are random variables, each dividend has
its own probability distribution

Many simplifications are typically made in finance applications for stocks.
 Constant discount rate (e.g., WACC)
 Do not specify probability distribution, but take expectations
Examples:
- Constant dividend (growth) in Gordon Growth model
- DCF free cash-flows do not have a probability distribution
Textbooks typically provide (mathematically) correct formulates, e.g., CAPM:
Returns themselves are random variables

However, advanced equity pricing models (e.g., Merton model), option pricing models, and credit
risk models do typically not make these simplifications > specify time-series behavior (probability
distribution) of cash-flows

Example:
- Yield curve > different risk-free rate for different time horizons
- Binominal tree for call option price > approximate probability distribution
- Credit risk literature > distinguish default and non-default state.

How to price any asset?
What is the price of this security?




A simple stochastic model (stock)
 Assume an all equity firm with only one stock
 Aster one time-period, the equity value will be either 0 with 10% probability or 110 with 90%
probability
 The discount rate is 10%

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