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Chapter 3: Fundamentals of Investment Analysis

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Title: Chapter 3: Fundamentals of Investment Analysis


1
Chapter 3 Fundamentals of Investment Analysis
  • Andrew Davidson
  • Anthony B. Sanders
  • Lan-Ling Wolff
  • Anne Ching

2
Analytical Problems of Increasing Complexity
3
Types of Investors
  • Trading
  • The firm seeks to buy securities for which it
    believes others in the market will be willing to
    pay a higher price.
  • Net interest spread
  • Net-interest investors seek to earn a steady
    stream of income based upon the difference
    between what they earn on the assets they own
    versus what they pay on liabilities they have
    incurred.
  • Total return
  • The total return manager seeks to outperform a
    set of benchmarks on a total return basis. Total
    return means the sum of income and changes in
    value over a specified time horizon.

4
Analytical Framework
5
Methodology
  • The methodology phase sets the stage for the
    analysis. In this phase, the types of risk that
    will be considered are determined.
  • The methodology phase is the most important phase
    and often the most overlooked.
  • The goal of this phase is to specify the range of
    influences on the securities performance that
    will be included in the analysis.
  • The methodology phase is critical because it sets
    the boundaries of the analysis. Factors that are
    left out in this phase cannot be considered in
    the analysis.

6
Methodology (continued)
  • Due to the complexity of securitization and
    structured securities, many factors need to be
    included when analyzing these types of
    securities.
  • Too often, however, methods that work for other
    instruments are blindly applied, without due
    consideration of other factors.
  • For example, the performance of an MBS might be
    related to activity in the housing market, the
    performance of a commercial mortgage deal may
    depend on the strength of retail sales, or the
    performance of a credit card deal may depend on
    the level of personal bankruptcies.
  • Failure to assess the impact of changing economic
    conditions might result in overlooking a
    potential risk of the investment.
  • The primary component of the economic environment
    that affects most fixed income investments is
    interest rates.

7
Methodology (continued)
  • For non-callable high quality securities, the
    interest rate environment determines the value
    and risk of the investment in a relatively
    straightforward manner.
  • For callable securities, such as MBS and other
    structured products, interest rates affect these
    securities through the interaction of potential
    changes in interest rates with the potential
    changes in the securities
  • cash flow. Determining value and risk is a more
    complex process.
  • A wide range of interest-rate assumptions are
    possible
  • Interest-rate assumptions can vary from the
    simple, where interest rates are expected to
    remain constant at their current levels
  • to dynamic, where, for example, interest rates
    change linearly over the next twelve months, each
    move having a probability given by the current
    volatility of interest rates to the
    sophisticated, where interest rates are generated
    by a two-factor log-normal mean-reverting
    process, which satisfies a no-arbitrage condition
    and whose variances and covariance are consistent
    with historical observation.

8
Methodology (continued)
  • Interest rates are not the only factors that
    affect performance of securities.
  • As warm-blooded securities, the value and
    performance of these complex instruments are
    influenced by whatever factors affect the
    borrowers.
  • Changes in an individuals family (marriage,
    divorce, children, death) will affect the
    homeownership and creditworthiness of the
    borrower.
  • As securitizations represent many different
    individual borrowers, the decisions of any one
    borrower will not have a significant impact on
    investors.
  • Taken together, the behavior of individuals will
    determine the performance of the securities.
  • For this reason, securities analysts look to
    economic data on employment and housing markets
    as well as other economic and demographic data.
  • One of the major complexities of this process is
    that these soft features of collateral and
    security performance must be viewed in the
    context of the interest-rate assumptions.
  • It is not enough to determine that rising
    unemployment tends to slow prepayment levels. It
    is also necessary to determine how much
    unemployment will rise or fall as interest rates
    change.

9
Collateral Performance
  • Based upon the choice of approach and the
    associated assumptions about the economic
    environment, investors can evaluate the
    characteristics and expected performance of the
    collateral.
  • The goal of the analysis is to produce
    assumptions that can be used in determining the
    cashflows of the collateral and the securities.
  • The assumptions are generally either in the form
    of a single number applied to a measure of
    performance, like an annual rate, or in the form
    of a model which relates inputs about the
    collateral and the economic environment to month
    by month forecasts of performance.
  • The focus of this analysis is usually on
    prepayments and credit.

10
Collateral Performance (continued)
  • Prepayments represent the options of borrowers to
    prepay loans.
  • Many products allow prepayment at any time some
    have prepayment penalties or other contractual
    features that may limit prepayments.
  • Unlike corporate bonds, prepayments on consumer
    assets are determined primarily based on analysis
    of historical data, rather than principles of
    optimal exercise because borrowers face unseen
    costs that are difficult to assess directly.

11
Collateral Performance (continued)
  • Credit evaluation is primarily an evaluation of
    the potential for delinquency and default, and
    the associated severity of loss.
  • Generally, loans that miss a payment are
    considered delinquent.
  • Delinquency is measured in number of days
    payments are overdue.
  • Delinquencies in excess of 60 or 90 days are
    considered seriously delinquent.
  • For some products, delinquencies of this
    magnitude are considered defaults.
  • Default represents the beginning of the recovery
    process. A servicer may attempt to recover losses
    on non-paying loans through renegotiations or
    foreclosure.
  • The difference between the loan balance and any
    recoveries less expenses is the severity of the
    loss.

12
Collateral Performance (continued)
  • Prepayments and credit assumptions are usually
    created via analysis of historical data.
  • The development and evaluation of these
    assumptions is a central part of developing
    structures for securitization and valuing the
    resulting securities.
  • Each type of collateral requires an in-depth
    analysis of its performance characteristics.

13
Structure
  • The structure phase is the core of the analytical
    process. In this phase, the cash flows of the
    securities are calculated based upon the
    environmental assumptions of the methodology
    phase, the assumptions generated in the
    performance phase, and the legal and contractual
    features of the collateral and the
    securitization.
  • The results generated in the next phase generally
    are attempts to summarize the characteristics of
    the cashflows in useful ways.
  • Calculation of the cash flow is theoretically the
    most straightforward phase, but for many
    applications it is the most time consuming.

14
Structure (continued)
  • The calculation procedure starts with the most
    basic component, the underlying collateral, and
    then derives the cash flows of the securities
    backed by those loans.
  • Pass-though securities are calculated based on
    the loan cash flows.
  • Structured securities cash flows are based on the
    pass-through cash flows.
  • Portfolio cash flows are calculated based on the
    cash flows of the securities.
  • The process of splitting the cash flows from the
    collateral into various securities is sometimes
    called the waterfall, as it describes how cash
    flows are divided between various instruments.

15
Structure (continued)
  • The greatest complexity in this phase is
    gathering the appropriate indicative data that
    describe the securities.
  • Each loan has unique characteristics that
    determine its cash flows and each security may be
    governed by a complex set of rules that determine
    how the incoming cash is split between several
    different securities.
  • Another important consideration in this phase is
    determining the appropriate level of detail for
    the analysis.
  • In some cases, loan-by-loan information is not
    available, so the analysis must be based on
    weighted average characteristics. In other cases,
    more information may be available.
  • The analyst must then determine the tradeoff
    between additional accuracy and computational
    efficiency.

16
Results
  • The final phase of the analysis is the results
    phase.
  • Based on the calculated cashflows, and the
    theoretical framework of the methodology, summary
    measures are produced in the results phase.
  • The purpose of these measures is to aid in the
    investment process. These analytical results
    generally provide insight into income, valuation
    and risk.
  • Income measures provide insight into the pattern
    of future cashflows and the levels of income.

17
Results (continued)
  • Valuation measures provide guidance in
    identifying rich and cheap securities.
  • While better measures provide more reliable
    indicators of future performance, all existing
    measures have both strengths and weaknesses.
  • Risk measures provide guidance in assessing the
    range of outcomes for an investment, as well as
    how a particular investment will perform relative
    to other securities.

18
Types of Analytical Results
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