Quantitative Research Analysts utilize the Quantitative Zacks Research System (QZRS) to Create and analyze the performance of equity selection models and adjust selection criteria to match anticipated economic conditions. Users can create and analyze performance of optimized portfolios, index funds and tilted index funds rebalanced daily, weekly or monthly. Create custom variables on-the-fly or choose from any number of predefined factors.
Since 1978 the Zacks data warehousing software, DBM Power, has been the gold-standard for custom database creation, modification and maintenance and is easily adaptable to suit any quantitative environment. Existing user proprietary data including alpha factors can be warehoused, backtested, ranked and optimized with the industry’s deepest ‘as originally reported’ databases.
Determine the correlation between two variables. Discover how a particular financial ratio performed relative to a benchmark over multiple time periods. Backtest and enhance existing strategies or design, backtest and implement new strategies with the most powerful U.S. equity backtest and multi-factor rank analysis system available in the market today.
Extend the backtest experience with the flexible, easy to use investment performance simulator utilizing such criteria as buy/sell rules, time frame, commissions/slippage, maximum number of positions, weighting tolerance, rebalancing frequency, and more.
Both long-only and long-short portfolios can be optimized with user defined risk and expected return tolerance factors or one can choose to optimize with the highest expected return amongst a set of one or more portfolios subject to an upper bound on risk.
The Zacks Consulting Services group strives to help your portfolio management strategies perform more efficiently. Whether one requires investment strategy development and evaluation or performance studies and audits, the Zacks consultants can assist with design, execution and implementation.
Valuation Mapping is a ZRS Consulting Service that provides a quantitative framework for gauging the effectiveness of relative valuation metrics to predict relative returns within an industry. Quantitative Research Analysts can answer such questions as "can you predict P/E if you know the value of expected EPS growth, expected ROE, and the future values of key financial ratios?" One can convert their own prediction of future company ratios into an accurate forecast P/E to make better relative buy/sell decisions. Even if one has little confidence in their financial ratio and P/E forecasts, Valuation Maps also measure which if any current relative valuation metrics such as P/E, P/B, P/S, P/CF, EV/EB, and PEG can be used to predict future relative returns within the industry.
Access DBM Power custom data and Rank Analysis multi-factor rank output via the Zacks Add-in for MS Excel. Perform historical diversification and performance attribution analysis on Trading Strategy Evaluator output. Enhance fundamental and valuation screens by incorporating custom data and multi-factor rank output into user defined screening definitions.