Chapter 3 - Asset Allocation & Investment Strategies Flashcards
What are the 3 non-style based bottom up analysis approaches?
Pure fundamental
Pure quantitative
Pure technical
What are the 2 categories of top down approaches?
Macroeconomic approach
Style based approach
What is a sector rotator?
An investor who employs a top-down macroeconomic approach to investment analysis.
What is the style-based approach to top down investment analysis?
Selecting stocks from whichever style is expected to perform best given the analysis of large-scale factors and capital market factors (ex. Small cap value, large cap growth, etc.)
What are the two passive equity strategies?
Indexing
Buy and hold
What are the 2 style based bottom up approaches to equity analysis?
Value and growth
Market capitalization
What is machine learning and what are the 3 types of machine learning?
Machine learning is a subfield of AI that develops and uses algorithms that give machines the ability to automatically learn and improve with experience using data, without being explicitly programmed.
1. Supervised learning
2. Unsupervised learning
3. Reinforcement learning
How do supervised, unsupervised, and reinforcement machine learning differ from one another?
Supervised learning involves labelled datasets during training. The computer learns patterns from the dataset’s paired input and output (label) values.
Unsupervised learning using unlabelled datasets. The algorithm is given inputs but not provided output values (labels), the algorithm discovers structures in the data such as patterns our groupings.
Reinforcement learning involves the algorithm receiving positive or negative feedback based on decisions made within a training environment.
What is deep learning?
A subfield of machine learning using artificial neural networks (ANNs) algorithms that attempt to mimic the human brain. Interconnected nodes attempt to mimic neurons and are arranged in layers where information is passed from one to the next to process large and complex data sets.
What is natural language processing?
A subfield of AI that creates computer programs that understand human language by reading text or hearing speech and uses it for an intended purpose such as analyzing large amounts of text/speech.
What is “big data” and what are the characteristics of big data?
Large and more complex collections of information that traditional databases cannot capture, manage, and process.
Characterized by “V”s: volume, variety, velocity, veracity, value, variability, visualization.
What are the 7 ‘V’s of big data?
Volume - amount of data involved
Variety - formats of data (audio/video, HTML, tables of data)
Velocity - speed that data is created and received
Veracity - quality, accuracy
Value - benefit of the data, usefulness
Variability - received in different formats, different sources
Visualization - once processed, it must be put into a clear and understandable format
When in Canada was discretionary portfolio management outside of a physical location permitted?
2014
Since then, several online advisory businesses have launches. Non-discretionary online wealth management is also available.
What are the 4 trends that have given rise to robo-advisors?
- Shifting demographics
- Passive investing trend
- Technological changes (social networks, mobile devices, predictive analysis)
- Demand for transparency (fees, performance)
What is factor-based investing?
Investing based on specific characteristics (factors). Most commonly used equity factors are value, momentum, size, quality, low volatility.
What is the “momentum” equity factor? How does this investing strategy work?
Stocks of companies that have outperformed based on price appreciation in a recent time period would be expected to continue to outperform (based on momentum).
What are smart beta ETFs?
Also known as strategic beta ETFs or factor ETFs. These are long-only portfolios that may track a defined alternative index or be constructed using one or more factors instead of replicating a conventional market-cap-weighted index.
What are the disadvantages of smart beta ETFs?
Reduced diversification by focusing on specific factor-based strategies.
Factors are shown to be cyclical over time, so strategies can underperform during down periods.
Higher management fees.
What are the (5) equity factors commonly used in North American investment management products?
- Value (stocks with low PE low PB)
- Momentum (recent stock price appreciation)
- Size (capitalization)
- Quality (stocks with high ROE, stable earnings, low leverage)
- Low volatility (smaller standard deviation)
Bonus (6) - dividend yield**
What indices do smart beta ETFs use and how does this work?
They require alternative indices. Index providers (such as S&P, MSCI, FTSE Russell) receive a licensing fee from an ETF in exchange for data on the index performance and the index’s portfolio holdings.
What is responsible investment?
The incorporation of environmental, social, and governance (ESG) factors into the selection and management of investments.
What are the 3 main financial risks associated with climate change?
- Physical risks - damage property values, disruptions to trade and supply change.
- Liability risks - impacts that could arise from parties seeking compensation due to loss or damage from the effects of climate change.
- Transition risks - generated by the process of adjustment towards a lower-carbon economy, such as policy and regulatory changes.
What is an example of a quantitative approach for investors/companies to manage their climate risk?
Carbon footprint measurement - sum of a proportional amount of each portfolio company’s emissions.
What is SOP when referring to executive compensation?
Say on Pay. Shareholder votes on executive compensation are mandated in the US, may eventually become mandated in Canada as well. Currently voluntary.
What is the impact of diversity in companies?
According to a report by the Centre for International Governance Innovation, there’s a 2.4% increase in revenue associated with a 1% increase in ethnic diversity.
A McKinsey analysis in 2019 found that companies in the top quartile for gender diversity on executive teams were 25% more likely to have above-average profitabiltiy than companies in the fourth quartile.
What are (4) prominent examples of ESG research firms?
MSCI
Sustainalytics
Refinitiv
ISS-ESG