Helping to Predict the Future
If you could consistently anticipate market shifts and manage risk effectively, your knowledge of the stock market would make you very wealthy.
No one can predict the future with absolute certainty – but active management uses historical patterns, real-time macro data , and disciplined risk processes to help determine optimal times to buy, sell, or adjust allocations.
History doesn’t always repeat itself, but there’s no reason to remain heavily exposed when macro signals and quantitative indicators point to elevated downside risk. A robust risk-managed approach helps investors sidestep large drawdowns while still capturing upside gains across market cycles.
While past performance does not guarantee future results, active management can significantly reduce volatility, preserve capital, and enhance long-term compound returns.
Investment Strategies
Long-term investing aims to capture broad market returns but inherently exposes portfolios to multiple risks that emerge over time, including inflation (purchasing power erosion), interest rate fluctuations, economic slowdowns, market volatility, and political/regulatory changes.
Short-term trading adds risks such as liquidity constraints and higher transaction costs/taxes, on top of the longer-term risks. Frequent trading can impact net performance if not executed within a disciplined framework.
Investing in securities involves a risk of loss that you, as a client, should be prepared to bear. Effective risk management is essential to navigating these challenges.
What is active investment management?
Markets move based on big-picture factors like economic growth, inflation, company profits, interest rates, unemployment, and government policies. Active management uses a combination of smart data analysis and in-depth research to help us make better decisions about what we buy and sell.Active management uses sophisticated technology and economic data to identify the impact of these variables.
Using investment strategies based on these factors, we can generate “alerts” and “stops” that signal when it is time to buy or sell. Based on this information, we can determine whether investors should be heavily invested in the market – or whether they should temporarily pull their money out of the market.While history doesn’t always repeat itself, it is the best predictor we have of how the market will act.
How does it work?
When a model’s market indicators signal that it is time to sell an investment because of the potential for losses, funds are shifted to money market funds, or other cash or fixed-income investments. When indicators signal the potential for significant gains, funds are re-invested in stocks, mutual funds, exchange-traded funds or other equity investments.How will missing a bear market affect my portfolio?
Between 1929 and 2007, there were 14 bear markets with declines of 20% or more (many far deeper, such as -86.7% in 1929 or -49% in the early 2000s). More recently, the Global Financial Crisis (2007-2009) saw the S&P 500 decline approximately 50-57%, while the Covid 19 downturn in early 2020 delivered a sharp 34% drop in just over a month. Recovering from a 50% loss requires a 100% gain just to break even. Active risk management that successfully sidesteps these periods can dramatically improve-long-term outcomes by reducing the time and magnitude needed for recovery.How does active management differ from market timing?
Market timing is a very short-term strategy in which the investor trades from day-to-day based on presumptions about what the market will do on that day.
Active management is based on longer term market trends.How is active management viewed on Wall Street?
Traders on Wall Street have long used sophisticated systems to help them identify the most appropriate times to buy and sell. “Program trading” was criticized as a system that helped the rich get richer, as it was unavailable to the average investor.Today, investment managers with the appropriate trading systems can help their clients by alerting themselves when heavy buying or selling of a stock takes place, or when other critical changes in the market occur.
Does active management depend on technical analysis of the stock market?
Active management typically incorporates both fundamental and technical stock analysis. After all, the more market knowledge that goes into an investment decision, the better.If active management is so effective, why don’t more investment managers use it?
Active management requires special macro knowledge, quantitative expertise, rigorous process discipline, and significant time commitment – areas where many traditional buy-and-hold advisors fall short. Educating clients on a dynamic, risk-managed approach also requires more effort than a simple passive strategy.Those that follow a “buy-and-hold” strategy can spend more time selling to new clients. And, since a “buy-and-hold” strategy is widely accepted, they have less of a challenge educating clients about their approach to investing.
Is active management risky?
When executed with a proven process – like shifting out during bearish signals – it can substantially reduce downside risk compared to passive, fully invested strategies. The focus on capital preservation during adverse market regimes helps investors avoid catastrophic drawdowns while staying positioned for growth.