Adaptive seeks to smooth out the ride—and level the playing field—so investors can stay invested for long-term growth with tools which are otherwise the province of the ultra high-net-worth.Request an Adaptive demo or pilot account to test drive our breakthrough fintech technology. Pilot users can securely link brokerage accounts for automated risk analysis and downside protection pricing.
Faq Categories: Public Tools
What is downside protection?
Downside protection, often called a portfolio hedge, is a general term for investments and other agreements which pay off in market and portfolio declines. Common forms include ‘put options’ and futures contracts which require special expertise and trading permissions.
Downside protection can limit potential losses, thus reducing the overall risk of a portfolio even while staying invested for potential growth.
The cost of downside protection is a drag on a portfolio’s performance, compared to an unprotected portfolio. At the same time downside protection can sometimes lead to improved risk-adjusted returns as compared to buy-and-hold without protection, if protection proceeds are reinvested at lower prices in a portfolio which is growing over the long term.
How can the Forward Test tool inform investment decisions?
Adaptive’s Forward Test tool is not investment advice. These kinds of simulations can be used to model the potential range of outcomes for different investment strategies or asset allocations. By comparing the distributions of potential returns, volatility, and downside risk for different scenarios, investors can make more informed decisions about which strategies to pursue and how to manage portfolios.Request an Adaptive demo or pilot account to test drive our breakthrough fintech technology. Pilot users can securely link brokerage accounts for automated risk analysis and downside protection pricing.
What are some limitations of Adaptive’s Forward Test tool?
Monte Carlo simulations such as Adaptive’s Forward Test tool are only as good as their assumptions about the probability of what is being simulated.
If these assumptions are incorrect or poorly calibrated, the simulation results may be inaccurate or misleading. To address this, it is important to use realistic and well-calibrated inputs, and to perform sensitivity analysis to test the robustness of the results to different assumptions.
Please contact us for more technical information. Forecasting tools tend to assume long-term growth in stocks, in keeping with long-term trends. Adaptive’s Forward Test, however, does not currently assume growth—instead it assumes a market on the whole that goes nowhere even though this likely underestimates the gains in long-term portfolios. Some of other Adaptive’s inputs include: historical returns for correlation estimates; implied volatility for calculating forward returns; and historical volatility, in part as a sanity check for implied volatility calculations.
What are some potential insights from adjusting settings in Adaptive’s Forward Test?
A key feature of Adaptive’s Forward Test is the ability to simulate the possible effects of downside protection, and to compare outcomes to a portfolio without downside protection. The interaction of Simulation Length, Protection Period, and Protection Level can affect these results.
• Protection Renewals.If the Simulation Length is longer than Protection Period, say five years of Simulation Length and one year of Protection Period, then the simulation assumes renewals of the downside protection at the same Protection Level and Protection Period. This assumption can greatly affect simulation results in part because the Protection Level is expressed as a percentage, so renewals for a rising portfolio will have higher dollar levels of protection, and likewise renewals for a falling portfolio will have lower dollar levels of protection.
There are a few nuances: (1) any Protection Payouts are added to the market value of the portfolio, in effect simulating reinvestment at the lower prices and, in an overall rising market, using Protection Payouts to ‘buy the dips’ as a potentially potent form of countering negative compounding; (2) whether there are Protection Payouts or not, the Forward Test finances Protection renewals out of the market value of the portfolio, meaning that there is some rebalancing to maintain portfolio allocations; (3) the Forward Test uses the current implied market volatility as its assumption for the cost of any renewals during the simulations, but in the real world the cost of renewals will be affected by the market conditions which might price protection higher or lower than current levels.
What is Adaptive’s Forward Test tool?
Forward Test games out possible investment returns in the future, based on the risk of your portfolio and its components, by charting many possible paths and the likelihood of various outcomes.
The largest gains and losses tend to be the least likely, akin to the low probability for instance of repeated coin tosses which are almost all heads or almost all tails.
Forward Test also help you compare the effects of downside protection for a portfolio in limiting potential losses.
Forward Test is a form of Monte Carlo simulation, which can be helpful for making more informed decisions and managing risk, by considering a wide range of potential outcomes. Read more about the use of Monte Carlo simulation in finance at Investopedia and Wikipedia.
How do I request an Adaptive pilot account to manage investment risks?
Adaptive seeks to smooth out the ride—and level the playing field—so investors can stay invested for long-term growth with tools which are otherwise the province of the ultra high-net-worth.Request an Adaptive demo or pilot account to test drive our breakthrough fintech technology. Pilot users can securely link brokerage accounts for automated risk analysis and downside protection pricing.
What is downside protection?
Downside protection, often called a portfolio hedge, is a general term for investments and other agreements which pay off in market and portfolio declines. Common forms include ‘put options’ and futures contracts which require special expertise and trading permissions.
Downside protection can limit potential losses, thus reducing the overall risk of a portfolio even while staying invested for potential growth.
The cost of downside protection is a drag on a portfolio’s performance, compared to an unprotected portfolio. At the same time downside protection can sometimes lead to improved risk-adjusted returns as compared to buy-and-hold without protection, if protection proceeds are reinvested at lower prices in a portfolio which is growing over the long term.
Why is understanding individual risk contribution important?
Understanding your portfolio’s top risk contributors helps manage portfolio risk. Possible insights include:
• Diversification. The portfolio’s overall risk may be lower than individual components thanks to the benefits of diversification, which is a powerful allocation strategy for reducing risk. Read more about the finance use of ‘diversification’ at Investopedia and Wikipedia.
• Position Risk and Position Size.Sometimes you will see that a more volatile position (higher dot) can contribute less to the overall portfolio risk (shorter bar) than a less volatile position which has a bigger weight in the portfolio. Volatile Tesla (TSLA), for example, may not be a big source of portfolio risk if it is relatively a small holding compared to a less volatile holding such as Pfizer (PFE).
• Position Risk and Market Risk.Compare the implied volatility of individual positions (the dots) to see if they are above or below the market’s implied volatility.
Risk tools such as Portfolio Risk Contribution and Adaptive one-click downside protection can help investors dial down portfolio specific risk and limit losses by changing the way we invest with downside protection.
What is Adaptive’s Portfolio Risk Contribution tool?
Portfolio Risk Contribution ranks sources of a portfolio’s overall risk in the volatility of individual position holdings, helping you identify where risk is coming from. You may find some of the results surprising, especially when the portfolio includes riskier individual positions which are diversified (that is, they don’t tend to move together).
• Bars Show Risk Contribution of Position. Each bar reflects how much of the overall portfolio’s volatility comes from a specific holding, which is a function in part of the weight of that holding in the portfolio. Bars for all portfolio positions should sum to 100%, though the total may be subject to rounding errors.
There are some nuances. Please contact us for more technical information—bars are computed using not only the weight of the stock in the portfolio and the implied volatility of the stock, but also an adjustment based on the correlation of such stock with the rest of the portfolio. This essentially calculates a “marginal” risk contribution for changes in the Portfolio Risk when adding an additional unit of said stock. Because of the correlation adjustments, a negatively correlated position will have a negative bar height signifying negative Risk Contribution—reducing the weight of a negatively correlated position, in other words will raise Portfolio Risk, and adding the weight of a negatively correlated position will reduce Portfolio Risk. The portfolio’s overall risk may be lower than individual components thanks to the benefits of diversification, which is a powerful allocation strategy for reducing risk. Read more about the finance use of ‘diversification’ at Investopedia and Wikipedia.
• Dots Show Position Risk. The dots show how ‘stable’ or ‘jittery’ an individual holding is, as measured by the holding’s annualized implied volatility (which is itself determined from the market prices for options on the underlying holding). Dots, in contrast to bars, are not affected by a position’s weight in the portfolio.
• Horizontal Blue Line Shows Market Risk. We currently use the VIX as our measure of market risk, though this may be refined further in the future. The VIX, often called the ‘fear index’ or ‘fear gauge’, is roughly a reading of the implied volatility of the S&P 500 for the coming 30 days, as calculated from the price of publicly traded options on the S&P 500. You can think of this line as the ‘position risk’ of the S&P 500, to compare whether individual positions are reading as more or less volatile than the market as a whole. Read more about ‘implied volatility’ and the VIX at Wikipedia, Investopedia, and the Chicago Board Options Exchange. Read more about the S&P 500 at Wikipedia, Investopedia, and S&P Dow Jones Indices.