Core Equity Analysis
Style and Size Investment Stratigies
Data on this page was last updated on May 18, 2023
Expectations
Expectations are all about trying to identify future expectations of a particular asset.
A practitioner needs to confirm the expectations with a trend following model and risk management rules. It should not be viewed in a vacuum, and external forces should always be considered.
Size and style are two different factors that investors can consider when constructing a portfolio and implementing an investment strategy.
Size
Size refers to the market capitalization of a company, or the total value of its outstanding shares of stock. Investors often categorize companies based on their size, such as small-cap, mid-cap, and large-cap. Small-cap companies are generally considered to be riskier, but with potentially higher returns, while large-cap companies are considered to be less risky but with potentially lower returns.
Style
Style, on the other hand, refers to the investing approach used by an investor, such as value, growth, or income investing. Value investing typically involves buying stocks that are undervalued by the market and have good fundamentals, while growth investing typically involves buying stocks of companies that have the potential for high future growth. Income investing, as the name suggests, involves buying stocks or other investments that provide a steady stream of income through dividends or interest payments.
When it comes to portfolio construction and investment strategy, investors can consider both size and style factors. For example, an investor might choose to invest in small-cap value stocks if they are looking for potentially high returns with a value-based approach. Alternatively, an investor might choose to invest in large-cap growth stocks if they are looking for stability and growth potential in a more growth-oriented approach. It’s important for investors to consider their own goals, risk tolerance, and time horizon when deciding on their investment strategy and how to incorporate size and style factors into their portfolio.
Long-term (CAPM) Expectations
Running the traditional CAPM model sets the framework for analyzing a multi-factor regression model. It also helps to understand the academic world’s perspective on the asset class. I would not put too much weight on these statistics unless you are a pension fund with very long-term investment horizons. Most of us are not and need to adjust our expectations for both the business cycle and economic factors.
Return | Std Dev | Sharpe | Beta | |
---|---|---|---|---|
Style - Large Value | 11.22% | 0.1702 | 0.5303 | 0.878 |
Style - Large Growth | 10.15% | 0.2010 | 0.3967 | 0.988 |
Style - Large Blend | 9.25% | 0.1921 | 0.3693 | 0.970 |
Bechmark (Wilshire 5k) | 8.29% | 0.1807 | 0.3403 | 1.000 |
Style - Mid Core | 9.04% | 0.2190 | 0.3144 | 1.047 |
Style - Small Core | 9.32% | 0.2339 | 0.3061 | 1.071 |
Style - Mid Growth | 8.92% | 0.2322 | 0.2914 | 1.080 |
Style - Small Growth | 8.69% | 0.2352 | 0.2782 | 1.127 |
Style - Mid Value | 8.1% | 0.2229 | 0.2675 | 1.033 |
Style - Small Value | 8.36% | 0.2347 | 0.2650 | 1.114 |
Business Cycle Expectations
The first step to estimating proper expectations is to understand the performance metrics filtered by our six business cycle stages. Core equities are sensitive to inflation expectations, growth, and credit risk; which often correlate to the business cycle.
Return | Std Dev | Sharpe | |
---|---|---|---|
Style - Small Core | -13.87% | 0.3285 | -0.4741 |
Style - Mid Core | -13.94% | 0.3237 | -0.4833 |
Style - Large Growth | -19.2% | 0.3566 | -0.5833 |
Bechmark (Wilshire 5k) | -17.72% | 0.3033 | -0.6379 |
Style - Small Growth | -26.11% | 0.4025 | -0.6850 |
Style - Mid Growth | -26.43% | 0.4048 | -0.6888 |
Style - Large Blend | -24.72% | 0.3670 | -0.7142 |
Style - Large Value | -46.31% | 0.5757 | -0.8229 |
Style - Small Value | -35.64% | 0.4334 | -0.8518 |
Style - Mid Value | -35.05% | 0.4064 | -0.8940 |
Return | Std Dev | Sharpe | |
---|---|---|---|
Style - Large Value | 37.87% | 0.1557 | 2.2579 |
Style - Mid Growth | 42.45% | 0.2231 | 1.7769 |
Style - Mid Core | 40.54% | 0.2201 | 1.7153 |
Style - Large Growth | 33.58% | 0.1922 | 1.6101 |
Style - Small Growth | 41.76% | 0.2433 | 1.6018 |
Style - Mid Value | 41.38% | 0.2458 | 1.5703 |
Style - Small Core | 42.19% | 0.2517 | 1.5646 |
Style - Large Blend | 31.17% | 0.1900 | 1.5043 |
Style - Small Value | 43.19% | 0.2703 | 1.4936 |
Bechmark (Wilshire 5k) | 30.41% | 0.1891 | 1.4718 |
Return | Std Dev | Sharpe | |
---|---|---|---|
Style - Large Blend | 13.89% | 0.1584 | 0.7346 |
Style - Small Core | 17.82% | 0.2127 | 0.7282 |
Style - Small Value | 16.51% | 0.2034 | 0.6984 |
Style - Large Growth | 13.55% | 0.1646 | 0.6870 |
Style - Mid Value | 14% | 0.1882 | 0.6242 |
Style - Large Value | 12.15% | 0.1658 | 0.5994 |
Style - Mid Core | 13.78% | 0.1929 | 0.5978 |
Bechmark (Wilshire 5k) | 11.78% | 0.1635 | 0.5854 |
Style - Mid Growth | 12.27% | 0.2068 | 0.4860 |
Style - Small Growth | 12.2% | 0.2161 | 0.4622 |
Return | Std Dev | Sharpe | |
---|---|---|---|
Style - Mid Value | 10.47% | 0.1325 | 0.6251 |
Style - Large Value | 9.66% | 0.1246 | 0.6013 |
Style - Large Blend | 9.52% | 0.1296 | 0.5679 |
Style - Large Growth | 9.04% | 0.1370 | 0.5027 |
Style - Mid Core | 8.27% | 0.1401 | 0.4376 |
Bechmark (Wilshire 5k) | 7.05% | 0.1286 | 0.3840 |
Style - Small Value | 7.67% | 0.1447 | 0.3832 |
Style - Small Core | 8.01% | 0.1583 | 0.3712 |
Style - Mid Growth | 6.32% | 0.1454 | 0.2903 |
Style - Small Growth | 3.95% | 0.1574 | 0.1202 |
Return | Std Dev | Sharpe | |
---|---|---|---|
Style - Small Core | 10.04% | 0.1714 | 0.4589 |
Style - Mid Core | 9.02% | 0.1599 | 0.4295 |
Style - Small Growth | 9.9% | 0.1945 | 0.3973 |
Style - Mid Growth | 10.35% | 0.2102 | 0.3886 |
Style - Large Blend | 7.44% | 0.1404 | 0.3787 |
Style - Large Value | 7.16% | 0.1388 | 0.3634 |
Style - Small Value | 6.68% | 0.1513 | 0.3024 |
Style - Large Growth | 5.3% | 0.1719 | 0.1872 |
Bechmark (Wilshire 5k) | 4.7% | 0.1708 | 0.1541 |
Style - Mid Value | 2.91% | 0.1449 | 0.0603 |
Return | Std Dev | Sharpe | |
---|---|---|---|
Style - Large Blend | 9.48% | 0.1694 | 0.4322 |
Style - Large Growth | 10.35% | 0.2094 | 0.3903 |
Style - Mid Value | 6.87% | 0.1626 | 0.2924 |
Style - Large Value | 6.67% | 0.1656 | 0.2756 |
Style - Mid Core | 6.65% | 0.1932 | 0.2353 |
Style - Small Growth | 6.44% | 0.2222 | 0.1950 |
Style - Mid Growth | 5.89% | 0.2109 | 0.1800 |
Style - Small Value | 4.68% | 0.1886 | 0.1382 |
Style - Small Core | 2.44% | 0.2039 | 0.0206 |
Bechmark (Wilshire 5k) | 1.51% | 0.1779 | -0.0281 |
The current stage of the business cycle is stage 6 which is a imminent recession.
**
Business Cycle Stage Best performers
Return | Std Dev | Sharpe | |
---|---|---|---|
Style - Large Growth | 10.35% | 0.2094 | 0.3903 |
Style - Large Blend | 9.48% | 0.1694 | 0.4322 |
Style - Mid Value | 6.87% | 0.1626 | 0.2924 |
Style - Large Value | 6.67% | 0.1656 | 0.2756 |
Style - Mid Core | 6.65% | 0.1932 | 0.2353 |
Annualized Metrics (Rf = 2.00%)
Avoid the following equity classes:
Return | Std Dev | Sharpe | |
---|---|---|---|
Style - Small Growth | 6.44% | 0.2222 | 0.1950 |
Style - Mid Growth | 5.89% | 0.2109 | 0.1800 |
Style - Small Value | 4.68% | 0.1886 | 0.1382 |
Style - Small Core | 2.44% | 0.2039 | 0.0206 |
Bechmark (Wilshire 5k) | 1.51% | 0.1779 | -0.0281 |
Factor Expectations
By this point, you should know that economic factors play a vital role in estimating the future expectations of an asset. Each asset needs to be run through our machine learning regression model to assess what factors are essential and the future expectation for the help.
Current Factor Trends:
Trend | |
---|---|
Economic Growth (Gr) | |
Monetary Policy (Mp) | |
Credit - Investment Grade (Cr) | |
Credit - High Yield (Ch) | |
Inflation Expectations (Ie) | |
Real Rates (Rr) | |
Long-term Real Rates (Rl) | |
Currency (Cu) | |
Commodity (Cm) |
Factor investing diversifies the beta (smart beta) between the asset and the factor instead of focusing on the beta between the security and a benchmark. One can estimate what they think the risk premia will be over time and control factor-beta, and use the long-term history for the presumed risk of the factors. That is unacceptable to us; using long-term data might be okay if you are a pension fund with a horizon of 100 years, but we investors have a much shorter investment horizon.
So what we do differently is identify the factor's current trend to calculate the risk premia and expected return of a particular asset. Furthermore, we do not rely on beta alone for sensitivity. Still, we run our regression through a machine-learning algorithm to more accurately model the factor's sensitivity. While our approach is not that academic, it is practical for real-world decision-making and does not require a long history to compute.
Gr | Mp | Cr | Ch | Ie | Rr | Rl | Cu | Cm | |
---|---|---|---|---|---|---|---|---|---|
Benchmark (Wilshire 5k) | 0.2452 | 0.0644 | -0.1289 | -0.0187 | 0.1057 | 0.0266 | 0.0499 | -0.0025 | 0.0011 |
Vanguard S&P 500V;ETF | 0.3513 | 0.0369 | -0.1878 | -0.0398 | 0.1231 | 0.0134 | 0.0477 | -0.0046 | 0.0017 |
Style - Large Blend | 0.2613 | 0.057 | -0.135 | -0.023 | 0.1058 | 0.0249 | 0.0452 | -0.0051 | 0.0012 |
Style - Large Growth | 0.265 | 0.0528 | -0.1312 | -0.0227 | 0.1019 | 0.0204 | 0.0395 | -0.0052 | 0.0012 |
Style - Mid Value | 0.2962 | 0.0724 | -0.1581 | -0.0265 | 0.1314 | 0.0299 | 0.0546 | -0.0066 | 0.0016 |
Style - Mid Core | 0.2688 | 0.0694 | -0.1437 | -0.0208 | 0.1193 | 0.0268 | 0.054 | -0.0032 | 0.0013 |
Style - Mid Growth | 0.3074 | 0.0726 | -0.1523 | -0.0264 | 0.1313 | 0.0234 | 0.0482 | -0.0073 | 0.0018 |
Style - Small Value | 0.3081 | 0.0662 | -0.1559 | -0.0274 | 0.1288 | 0.0308 | 0.0557 | -0.0059 | 0.0014 |
Style - Small Core | 0.2688 | 0.0683 | -0.1351 | -0.0211 | 0.1225 | 0.031 | 0.0575 | -0.003 | 0.0013 |
Style - Small Growth | 0.3146 | 0.0616 | -0.1482 | -0.027 | 0.1253 | 0.0234 | 0.046 | -0.0061 | 0.0015 |
Gr | Mp | Cr | Ch | Ie | Rr | Rl | Cu | Cm | |
---|---|---|---|---|---|---|---|---|---|
Benchmark (Wilshire 5k) | 0.381 | 0.1 | 0.2 | 0.029 | 0.164 | 0.041 | 0.078 | 0.004 | 0.002 |
Vanguard S&P 500V;ETF | 0.436 | 0.046 | 0.233 | 0.049 | 0.153 | 0.017 | 0.059 | 0.006 | 0.002 |
Style - Large Blend | 0.397 | 0.087 | 0.205 | 0.035 | 0.161 | 0.038 | 0.069 | 0.008 | 0.002 |
Style - Large Growth | 0.414 | 0.083 | 0.205 | 0.035 | 0.159 | 0.032 | 0.062 | 0.008 | 0.002 |
Style - Mid Value | 0.381 | 0.093 | 0.203 | 0.034 | 0.169 | 0.038 | 0.07 | 0.008 | 0.002 |
Style - Mid Core | 0.38 | 0.098 | 0.203 | 0.029 | 0.169 | 0.038 | 0.076 | 0.005 | 0.002 |
Style - Mid Growth | 0.399 | 0.094 | 0.198 | 0.034 | 0.17 | 0.03 | 0.063 | 0.009 | 0.002 |
Style - Small Value | 0.395 | 0.085 | 0.2 | 0.035 | 0.165 | 0.039 | 0.071 | 0.008 | 0.002 |
Style - Small Core | 0.379 | 0.096 | 0.191 | 0.03 | 0.173 | 0.044 | 0.081 | 0.004 | 0.002 |
Style - Small Growth | 0.417 | 0.082 | 0.197 | 0.036 | 0.166 | 0.031 | 0.061 | 0.008 | 0.002 |
Return | Std Dev | Sharpe | |
---|---|---|---|
Style - Large Growth | 59.53% | 0.1303 | 4.3269 |
Style - Mid Growth | 60.33% | 0.1490 | 3.8379 |
Style - Small Growth | 58.57% | 0.1592 | 3.4833 |
Style - Mid Core | 54% | 0.1489 | 3.4216 |
Style - Large Blend | 43.99% | 0.1347 | 3.0549 |
Benchmark (Wilshire 5k) | 40.61% | 0.1304 | 2.9006 |
Style - Small Core | 45.99% | 0.1540 | 2.7983 |
Style - Small Value | 42.09% | 0.1612 | 2.4367 |
Style - Mid Value | 34.68% | 0.1456 | 2.1997 |
Style - Large Value | 20.89% | 0.1205 | 1.5356 |
Factor Analysis Best performers
Return | Std Dev | Sharpe | |
---|---|---|---|
Style - Mid Growth | 60.33% | 0.1490 | 3.8379 |
Style - Large Growth | 59.53% | 0.1303 | 4.3269 |
Style - Small Growth | 58.57% | 0.1592 | 3.4833 |
Style - Mid Core | 54% | 0.1489 | 3.4216 |
Style - Small Core | 45.99% | 0.1540 | 2.7983 |
Avoid the following equity classes:
Return | Std Dev | Sharpe | |
---|---|---|---|
Style - Large Blend | 0.4399% | 0.1347 | 3.0549 |
Style - Small Value | 0.4209% | 0.1612 | 2.4367 |
Benchmark (Wilshire 5k) | 0.4061% | 0.1304 | 2.9006 |
Style - Mid Value | 0.3468% | 0.1456 | 2.1997 |
Style - Large Value | 0.2089% | 0.1205 | 1.5356 |
Relative Stregnth Analysis
Relative strength is a strategy used in momentum investing and identifying value stocks. It focuses on investing in stocks or other investments that have performed well close to the market or relevant benchmark. We use relative strength to confirm our assumptions about our expectations. We should see out performance compared to the benchmark and peers if our assumptions are correct.
Rotation Analysis
A rotation chart can help identify the momentum of a trend. The top-left quadrant is a developing trend, just starting to unfold. The top-right quadrant is a developed trend. A weakening trend is in the bottom-right. And the last quadrant, the bottom-left, is a downtrend.
Relative Rotation, to the market
Rotation Chart
Trend Anlaysis
Trend following is a trading style that attempts to capture gains by analyzing an asset’s momentum in a particular direction. When the price moves in one overall direction, such as up or down, that is called a trend.
Trend traders enter into a long position when security is trending upward. An uptrend is characterized by higher swing lows and higher swing highs. Likewise, trend traders may opt to enter a short position when an asset is trending lower. Or, in our case, managing long-only, chose to avoid securities that are trending down. A downtrend is characterized by lower swing lows and lower swing highs.
Having predefined rules on what is and isn’t a trend also provides us with a method for controlling risk. We know at what price we would not consider being invested in a position. Following our trend system, we always know when we should cut our losses.
Trend Table & Rolling Performance
Trend | Efficiency Ratio | One Month | Three Month | Six Month | One Year | Drawdown | |
---|---|---|---|---|---|---|---|
Style - Large Growth | 0.22 | 3.25 | 8.1 | 21.89 | 12.31 | -3.8 | |
Style - Large Blend | 0.01 | 0.35 | 1.83 | 10.41 | 5.85 | -4.23 | |
Style - Large Value | -0.12 | -0.81 | -1.56 | 7.05 | 5.82 | -4.92 | |
Style - Mid Growth | -0.08 | -2.17 | -3.42 | 7.82 | 5.96 | -9.14 | |
Style - Small Growth | -0.03 | -0.84 | -3.14 | 7.27 | 5.77 | -9.52 | |
Style - Mid Core | -0.16 | -1.87 | -6.8 | 2.24 | 2.62 | -10.16 | |
Style - Mid Value | -0.27 | -2.79 | -8.7 | -1.89 | -5.2 | -11.18 | |
Style - Small Value | -0.17 | -2.25 | -9.88 | -2.52 | -3.13 | -13.2 | |
Style - Small Core | -0.12 | -2.15 | -9.49 | -2.23 | -3.27 | -13.34 |
Summary
To build a tactical portfolio, we need to understand and set expectations. We start with our macro and factor models. We then need to confirm our assumptions with a relative strength analysis. Finally, we want the ability to control the downside risk when things do not go as expected. We use a trend analysis that sets the point that we will exit no matter what.
E(r) Business Clycle | E(r) Factor | Relative Rotation | Absolute Rotation | Trend | Efficiency | Drawdown | |
---|---|---|---|---|---|---|---|
Style - Large Growth | -3.8 | ||||||
Style - Large Blend | -4.23 | ||||||
Style - Large Value | -4.92 | ||||||
Style - Mid Growth | -9.14 | ||||||
Style - Small Growth | -9.52 | ||||||
Style - Mid Core | -10.16 | ||||||
Style - Mid Value | -11.18 | ||||||
Style - Small Value | -13.2 | ||||||
Style - Small Core | -13.34 |