Peter Wiley

Amundi US selects investments from a wide range of asset classes and employs a variety of styles in managing client assets. Regarding equity securities, the firm employs fundamental and quantitative research to their portfolio management approach. With respect to fixed income securities, their investment professionals consistently apply well established means of identifying potentially rewarding securities. Whether applying top-down analysis that leads to selection of government bonds, or the bottom-up approach that ends with corporate bonds being selected, the investment management team's goal is portfolio construction that matches product objectives and supports investors’ goals.

Profile Unavailable.

Functions as a College/University

Liberty Funds Group focuses on the managed futures and commodities industry. Their Liberty Wealth Protection strategy is designed to protect the purchasing power of the US dollar. The strategy represents the firm's best ideas and cumulative experience and, like other managed futures vehicles, does not correlate to the performance of stock and bond markets. The strategy seeks to deliver outsized returns during periods of economic duress. In managing the strategy, Liberty Funds Group uses proprietary computerized multi-time scale mathematical models which trade on timeframes from a few hours to a year. These models trade a basket of futures and options markets and generate alpha from multiple, non-correlated sources such as trends, short-term mean reversion and expansion and option time decay. The trend following or directional component of the strategy is robust and adaptive. It allows for market behavior to establish time scales most suitable for capturing material price moves in a particular market. The directional component has a slight bias towards trades that would participate in rising commodity prices, rising interest rates and a weakening US dollar. The short term component considers tick data across multiple time frames from 4 days to 50 days to locate trading opportunities. The model looks for set ups that would tend to signal a break out from an area of price congestion. It also searches for an opportunity to profit from a trending market as it shows signs of reverting to a mean. The option component is built around two concepts: (1) trend following signals are false more often than they are true and (2) the time value of an option declines rapidly as it approaches expiration. Combining these concepts together with a futures based option defense strategy creates a unique stand-alone trading strategy.