Factor Investing and Smart Beta | The Complete Course

Beta measures how much an investment moves with the market, with a beta of one signaling market neutrality; a 60% stock, 40% fixed income mix yields 0.6.

The better factor shows a global equity risk premium averaging 4.6 percentage point over risk free bonds, with stocks outperforming fixed income across long term periods and geographies.

Access the beta factor cheaply via US-weighted, market-cap neutral ETFs offering global exposure with low fees and low turnover, benchmarked by FTSE Global All Cap and MSCI ACWI All Cap.

Investors demand a risk premium for holding stocks, which are volatile, especially during crises, and over longer periods stocks show profitability advantages, explaining the beta factor's outperformance over risk-free investments.

Explore the distinction between smart beta and classic beta, noting classic beta has the lowest turnover and beta strategies offer the highest capacity with low fees and taxes.

Define the size factor by comparing small caps to large caps and compute the smb premium. Note that the beta factor and size-based strategies deviate from the market portfolio.

The size factor delivers a persistent, pervasive premium: bottom 50% outperforms top 50%, with about a 3.3% annual advantage, across domestic, international, and emerging markets.

Assess the investibility of the size factor through funds and ETFs, balancing fees and taxes against the size premium, and compare benchmarks like the S&P 600 and MSCI small-cap indices.

The size factor delivers a premium by investing in smaller companies, which face higher risk from weaker capital structures, less revenue stability, and liquidity constraints.

Examine the size factor and the small cap growth anomaly, where high growth small caps command premium valuations and higher volatility, mitigated by quality filters.

Showcases the value factor's superior, persistent, and pervasive performance across global markets, with book-to-market strategies outperforming growth and enduring across time.

Highlight the value factor premium realized through real funds and ETFs, accounting for turnover and fees, with benchmarks like MSCI Enhanced Value and Fama-French US Value indices.

Explore the value factor's persistence explained by risk and behavioral schools, compare value and growth mispricing, and understand how cognitive biases drive the value premium.

Explore momentum as a stock return persistence signal using the past 12 months (excluding the most recent month) and the up-minus-down premium, with robustness across definitions.

Momentum shows that the 30% of stocks by price growth over the past 12 months outperform the bottom 30% by about 9.6% per year, a persistent and pervasive factor worldwide.

Momentum strategies can capture the factor premium in real portfolios despite turnover, as a 2014 study finds low costs and recommends longer rebalancing intervals.

Explore behavioral explanations for momentum, including underreaction to gradual information, overreaction to good news, and the disposition effect bias and limited attention bias, with note of risk-based views.

Evaluate the momentum factor's higher turnover, fee and tax implications, potential drawdowns, and diversification with other factors, noting its negative correlation with value to manage volatility and debunk myths.

Explore the definition and robustness of the quality factor, including gross profitability, gross profit over total assets, investment growth in total assets, leverage, and return on equity.

Assess the quality factor’s outperformance driven by high profit margins, low earnings volatility, low financial and operational leverage, and high asset turnover, delivering factor outcomes in long-only and long-short portfolios.

Quality is a low turnover factor that reduces fees and taxes, captures the premium with long-only positions, and benchmarks with MSCI ACWI Quality Index and Global MSCI World Quality Index.

Analyze risk-based and behavioral explanations for the quality factor. Show how high-quality firms with high margins, cash flow, and predictability may carry added risk and be underpriced by optimistic forecasts.

Highlight the lack of consensus on the quality factor's definition, its overlap with profitability and size, and the importance of orthogonality when combining factors to protect investors.

Invest in less volatile stocks with lower beta—the low volatility factor—where CAPM-contradicting evidence shows they deliver higher returns than expected, with similar market performance and lower risk.

Explore the persistence and global reach of the low volatility factor, with evidence from stocks and fixed income across developed markets, and notable outperformance versus high volatility peers.

Explore how retail investors access the low volatility factor via long-only funds and ETFs, and benchmark performance with MSCI and S&P low volatility indices.

Explore the low volatility anomaly and the volatility effect within the capital asset pricing model, highlighting structural and behavioral explanations, from leverage limits to investor attention.

Explore how the low volatility factor blends size, profitability, and value factors, with most returns driven by the short side and high costs in small cap strategies.

Discover practical ways to capture factor benefits through funds and ETFs that build diversified, rule-based portfolios, such as momentum exposure in US companies, with an associated management fee.

Evaluate ETF and factor funds by four rule-based criteria: clear rules, low costs, explicit transfer points, and low specific risk to minimize turnover and trading spreads.

Assess the risks of factor investing, including volatility and maximum drawdown, and interpret Sharpe ratios across geographies for market neutral factors such as size, value, quality, low volatility, and momentum.

Examine market underperformance risk in factor investing, including periods when factor portfolios underperform the market neutral beta; learn how multi-factor portfolios reduce volatility and drawdown for stronger long-term returns.

Combine factors to create a robust, diversified portfolio by balancing low volatility, size, momentum, value, and quality against beta exposure, while measuring correlation to manage risk.

Understand how correlation measures interdependence between variables on a scale from -1 to 1, with examples of positive, negative, and zero relationships, and apply this to diversification in factor investing.

Explore correlation matrices showing value stocks as small caps, negative links with momentum and quality, and how combining value, momentum, low volatility, and quality lowers risk in a multifactor portfolio.

Allocate equity portfolios by factors and geography, exploring core plus satellite and factor-focused approaches, balancing beta, factors, and regional weights with practical examples.

Explore how asset location and tax considerations shape factor fund and ETF allocations across countries, weighing currency spreads, fees, and brokerage choices to optimize returns.

Select a factor portfolio across beta, value, momentum, and quality using global ETFs; screen for liquidity and fees, and prefer broad exposure like VTI or Acwi.

Put a theoretical vector investment portfolio into practice by trading etfs: open a brokerage account, compare broker features, and place limit orders while tracking bid–ask, order book, and market makers.

Learn how tax loss harvesting optimizes returns by selling losing shares to offset future profits, repurchasing equivalent shares, and using tax exemption limits when profitable sales occur.

Explore why factor premiums persist after becoming known, grounded in risk, investor behavior, and market structure, and assess whether publication reduces premiums while diversification and smart beta remain beneficial.

Explain why REITs are not a distinct asset class, despite beta, size, value, term and credit exposures, and show how to include them in diversified portfolios.

Explore whether Buffett’s returns can be replicated via factor exposure rather than stock picking, using a 70% leveraged portfolio with low volatility, value, and quality factors.

Long only factor portfolios offer simplicity and closer alignment with benchmarks, while long and short strategies, which involve the beta factor, add flexibility but incur higher costs and risks.