Capital Markets Flashcards
Cross-sectional consistency
Refers to consistency across asset classes regarding portfolio risk and return characteristics
Intertemporal consistency
Refers to consistency over various investment horizons regarding portfolio decisions over time
Limitations to using economic data when forecasting
- The time lag between collection and distribution is often quite long.
- Data are often revised and the revisions are not made at the same time as the publication
- Data indexes are often rebased over time
Transcription Errors
The misreporting or incorrect recording of information and are most serious if they are biased in one direction
Survivorship Bias
Commonly occurs if a manager or a security return series is deleted from the historical performance record of managers or firms
Appraisal Data
Appraisal data for illiquid and infrequently priced assets makes the path of returns appear smoother than it actually is. This biases downward calculated standard deviation and makes the returns seem less correlate (closer to 0) with more liquid priced assets
Limitations of Historical Estimates
Can hamper the formation of capital market expectations.
Why is a long time period preferable when working with historical data
- It may be statistically required: to calculate historical covariance (and correlation), the number of data points must exceed the number of covariances to be calculated
- A larger data set (time period) provides more precise statistical estimates with smaller variance to the estimates
- Using a short time period creates a temptation to us more frequent data, such as weekly data, rather than monthly data point in order to have a larger sample size
ex post data (after the fact)
also known as actual returns, is information about the results of an event that has already taken place. It’s often used by investment companies to calculate the actual returns of a security, which can help them predict future earnings.
ex ante (before the fact)
refers to future events that are based on forecasts or predictions rather than concrete results. Translated from Latin, it means before the event.
Misinterpretation of correlation
A problem in forming capital market expectations; a common mistake that can lead to ineffective strategies and wasted resources. Here are some ways correlation can be misinterpreted
Psychological biases
a systematic error in thinking that occurs when people process and interpret information in their surroundings, influencing their decisions and judgments
Anchoring Bias
When the first information received is overweight.
Status Quo Bias
When predictions are highly influenced by the recent past
Confirmation Bias
When only information supporting the existing belief is considered, and when such evidence may be actively sought while other evidence is ignored.
Overconfidence Bias
When past mistakes are ignored, the lack of comments from others is taken as agreement, and when the accuracy of forecast is overestimated
Prudence Bias
When forecasts are overly conservative to avoid the regret from making extreme forecasts that could end up being incorrect
Availability Bias
When what is easiest to remember (often an extreme event) is overweighted
Model Uncertainty
Refers to selecting the correct model.
Parameter Uncertainty
Refers to estimation errors in model parameters
Input Uncertainty
Refers to knowing the correct input values for the model
Question:
An analyst uses a variety of valuation approaches for different asset classes and collects the necessary data from multiple sources. The analyst does not make any effort to systematically compare the data used. As a result, the analyst uses relatively low discount rates for equity analysis (overestimating theoretical value) and high discount rates for fixed income (underestimating theoretical value). Discuss the likely effect on the analyst’s asset
allocation recommendations.
The analyst has not been systematic and has used inconsistent assumptions. In this case, the result is overstating the attractiveness of equity and understating the attractiveness of fixed income. The result would be allocating too much to equity
Question:
An analyst would like to forecast U.S. equity returns. He is considering using either the last 3 years of historical annual returns or the last 50 years of historical annual returns. Provide an argument for and against each selection of data length.
Pro: The recent three-year period is more likely to reflect the current economic and political environment.
Con: The recent shorter period does not reflect the full course of a business cycle or a variety of possible economic conditions.
Pro: The longer period is more likely to reflect various economic conditions that can occur.
Con: The longer period is more likely to be subject to regime change, be nonstationary, and reflect conditions that are no longer relevant.
Question:
Explain why smoothed data may be present for some types of alternative investments and the consequences for their risk and correlation with other assets from using such data.
Some types of alternative investments are not regularly traded, and only infrequent prices (smoothed data) are available. This makes the calculated standard deviation lower because there are no actual periodic changes in value (there are no prices to examine). The smoothed return data also appears to be less correlated with the more erratic pricing of other asset classes that have and report actual trading prices. The correlation will appear closer to zero.
Exogenous Shocks
Are unanticipated events that occur outside the normal course of an economy. Because the events are unanticipated, they are not already built into current market prices, whereas normal trends in an economy, which would be considered endogenous, are built into market prices.
What factors can cause Exogenous Shocks?
Changes in government policies
Political events
Technological progress
Natural disasters
Changes in Government Policies
Government policies that can encourage long-term growth include sound fiscal policy, minimal government interference with free markets, facilitating competition in the private sector, development of infrastructure and human capital, and sound tax polices
Political Events
Geopolitical tensions that divert resources to less productive use may lead to decreases in growth. Conversely, cuts in defense spending due to higher levels of world peace may lead to increase in growth
Technological progress
The creation of new and innovative markets, products, and technologies has the potential to improve growth
Natural Disasters
Natural disasters likely reduce short-term growth, but may (arguably) encourage long-term growth if more efficient capacity replaces previous capacity
Discovery of Natural Resources
Production of new natural resources or the introduction of new ways to recover existing resources can enhance growth. In addition, decreases in resource production costs will improve growth while decreases in resource supply will restrict growth
Financial Crises
Shocks to the financial system will lead to a crisis of confidence among market participants. Financial crises may reduce the level of economic output in the short term and may also decrease the trend rate of growth
Key Considerations of Economic Growth Trend Analysis
- Forecasting returns with DCF models incorporate the trend rate pf growth.
- Higher trend growth rates may lead to higher stock returns assuming the growth is not already reflected in stock prices
- When we speak of higher trend growth rates, we mean the economy can grow at a faster pace before inflation becomes a major concern. This consideration influences monetary policy and the level of bond yields.
- Higher trend growth rates tend to generate higher government bond yields
Basic Model for Forecasting the Economic Growth Rate:
- Labor Input
- Capital per Worker
*Total Factor Productivity
(more info below)
Labor Input
Based on growth in the labor force and labor participation. Growth in the labor force depends on population growth and demographics. Labor participation refers to the percentage of the population working and is affected by real wages, work/leisure decisions, and social factors
Capital per Worker
Which increases labor productivity
Total Factor Productivity
Which is reflected in technological progress and changes in government policies
Forecasting the long-term economic growth rate (example)
Assume that the population is expected to grow by 2% and that labor force participation is expected to grow by 0.25%. If spending on new capital inputs is projected to grow at 2.5% and total factor productivity will grow by 0.5%, what is the long-term projected growth rate?
The sum of the components equals 2% + 0.25% + 2.5% + 0.5% = 5.25%
The economy is projected to grow by 5.25%
Three Approaches to Economic Forecasting
- Econometric Modeling
- Use of Economic Indicators
- A Checklist Approach
Econometric Analysis
Uses statistical methods to explain economic relationships and formulate forecasting models
Structural Models
Are based on economic theory
Reduced-Form Models
Are compact versions of structural approaches
Advantages of Econometric Analysis
- Modeling can incorporate many variables
- Once the model is specified, it can be reused
- Output is quantified and based on a consistent set of relationships
Disadvantages of Econometric Analysis
- Models are complex and time-consuming to construct
- The data may be difficult to forecast and the relationships can change
- Output may require interpretation or by unrealistic
- It does not work well to forecast turning points
Economic Indicator
Are available from governments, international organizations (e.g., the Organization of Economic Cooperation and Development), and private organizations (e.g., the Conference Board in the United States).
Leading Indicators
These are measurements that anticipate future events and help predict performance before it happens. They move ahead of the business cycle with a reasonable stable lead time.
Composite
A group of portfolios that are managed with a similar investment strategy, objective, or mandate. It’s often used to present performance to potential clients. Composites can by used with Leading Indicators, and can be interpreted as a diffusion index.
Diffusion Index
A measure of how many stocks are advancing within an index, typically on a daily basis. It can also be used to measure the extent of economic expansions by calculating the proportion of component indicators that are improving.
Coincident Indicator
A statistic that reflects the current state of the economy in real-time. Coincident indicators are used to help make informed decisions about business strategies and economic policies.
Lagging Indicators
These are measurements of past and current results and performance that confirm trends and changes in trends. They are used to confirm economic or market shifts that are already in motion and are sometimes called “output” metrics.
Advantages of Economic Indicators
- Economic indicators are simple, intuitive, and easy to interpret
- Data is often readily available from third parties
- Indicator lists can be tailored to meet specific forecasting needs
Disadvantages of Economic Indicators
- Forecasting results have been inconsistent
- Economic Indicators have given false signals
- Indicators are revised frequently, which can make them appear to fit past business cycles better than they did when the data was first released
Checklist Approach
Ensures that no critical detail is overlooked, streamlines the investment process, and creates a culture of consistency and accountability, leading to maximized returns, reduced errors, and a competitive edge in the market.
Advantages of Checklist Approach
- Less complex than econometrics
- Flexible in mixing objective statistical analysis with judgment to incorporate changing relationships
Disadvantages of Checklist Approach
- Subjective
- Time-consuming
- Complexity must be limited due to manual process
Business Cycle
A type of fluctuation found in the aggregate economic activity of a nation—a cycle that consists of expansions occurring at about the same time in many economic activities, followed by similarly general contractions. This sequence of changes is recurrent but not periodic. The business cycle is also called the economic cycle.
Disadvantages of Business Cycle
- Business cycles vary in duration and intensity, and their turning points are difficult to predict. Their variations may be thought of as resulting from the interactions of many subcycles with a wide range of frequencies.
- Although we typically think of and model economic activity in terms of cycles fluctuation around a long-term trend, it can be difficult to distinguish which effects result from shorter-term factors that arise from the business cycle and which are related to longer-term factors that affect the trend rate of economic growth.
- Returns in the capital market are strongly related to activity in the real economy, but they also depend on factors such as investors’ expectations and risk tolerances.
Advantages of Business Cycle
Business cycle analysis is most useful for identifying opportunities within the time horizon of a typical business cycle. For longer investment horizons that are likely to include one or more full business cycles, information about the current state of the economy is less valuable.
Five phases of the Business Cycle
- Initial Recovery
- Early Expansion
- Late Expansion
- Slowdown
- Contraction
Characteristics of INITIAL RECOVERY of the Business Cycle
- Duration of a few months
- Business confidence rising
- Government stimulus provided by low interest rates and/or budget deficits
- Falling inflation
- Larger output gap
- Low or falling short-term interest rates
- Bond yields bottoming out
- Rising stock prices
- Cyclical, riskier assets such as small-cap stocks and high yield bonds doing well
Characteristics of EARLY EXPANSION of the Business Cycle
- Duration of a year to several years.
- Increasing growth with low inflation.
- Increasing confidence.
- Rising short-term interest rates.
- Output gap is narrowing.
- Stable or rising bond yields.
- Rising stock prices
Characteristics of LATE EXPANSION of the Business Cycle
- High confidence and employment.
- Output gap eliminated and economy at risk of overheating.
- Increasing inflation.
- Central bank limits the growth of the money supply.
- Rising short-term interest rates.
- Rising bond yields.
- Rising/peaking stock prices with increased risk and volatility.
Characteristics of SLOW DOWN of the Business Cycle
- Duration of a few months to a year or longer.
- Declining confidence.
- Inflation still rising.
- Short-term interest rates at a peak.
- Bond yields peaking and possibly falling, resulting in rising bond prices.
- Possible inverting yield curve.
- Falling stock prices.
Characteristics of CONTRACTION of the Business Cycle
- Duration of 12 to 18 months.
- Declining confidence and profits.
- Increase in unemployment and bankruptcies.
- Inflation topping out.
- Falling short-term interest rates.
- Falling bond yields, rising prices.
- Stock prices increasing during the latter stages, anticipating the end of the recession.
Inflation
Inflations means generally rising prices
Disinflation
Disinflation means a deceleration in the rate of inflation
Deflations
Deflation means generally falling prices.
Deflation is a severe threat to economic activity for the following reasons:
- It encourages default on debt obligations
- With negative inflation, interest rates decline to near zero and this limits the ability of central banks to lower interest rates and stimulate the economy
Quantitative Easing (QF)
A monetary policy used by central banks to increase the money supply and reduce interest rates. The goal of QE is to stimulate economic activity, particularly during financial crises or recessions.
Traditionally, central banks have used open market operations to increase the money supply and decrease short-term interest rates on a temporary basis by buying high quality fixed-income instruments. QE was different in that it was larger in scale, the purchases included other security types such as mortgage-backed securities and corporate bonds, and the intent was a long-term increase in bank reserves.