Core Insights - The article discusses the expertise of Fred Piard, a quantitative analyst with over 30 years in technology, focusing on data-driven systematic investment strategies since 2010 [1]. Group 1: Expertise and Background - Fred Piard has authored three books and runs an investing group called Quantitative Risk & Value, which focuses on quality dividend stocks and innovative tech companies [1]. - He provides various market strategies, including market risk indicators, real estate, bond, and income strategies in closed-end funds [1].

Fred Piard, PhD. is a quantitative analyst and IT professional with over 30 years of experience working in technology. He is the author of three books and has been investing in data-driven systematic strategies since 2010. Fred runs the investing group Quantitative Risk & Value where he shares a portfolio invested in quality dividend stocks, and companies at the forefront of tech innovation. Fred also supplies market risk indicators, a real estate strategy, a bond strategy, and an income strategy in closed- ...

Fred Piard, PhD. is a quantitative analyst and IT professional with over 30 years of experience working in technology. He is the author of three books and has been investing in data-driven systematic strategies since 2010. Fred runs the investing group Quantitative Risk & Value where he shares a portfolio invested in quality dividend stocks, and companies at the forefront of tech innovation. Fred also supplies market risk indicators, a real estate strategy, a bond strategy, and an income strategy in closed- ...

Core Insights - The article provides a comprehensive analysis of the information technology sector, focusing on value, quality, and momentum metrics, which can aid in evaluating sector ETFs like The Technology Select Sector SPDR Fund ETF (XLK) and iShares U.S. Technology [1] Group 1 - The analysis is conducted by Fred Piard, PhD, a quantitative analyst with over 30 years of experience in technology, who has been investing in data-driven systematic strategies since 2010 [1] - Fred Piard runs the investing group Quantitative Risk & Value, which focuses on quality dividend stocks and companies leading in tech innovation [1] - The article also discusses market risk indicators, real estate strategies, bond strategies, and income strategies in closed-end funds [1]

Group 1 - Many high yield ETFs and closed-end funds experience capital and distribution decay, which can be mitigated through rotational strategies rather than treating these funds as long-term investments [1] - A 5-factor ranking system was designed in 2016 to monitor performance over several years, leading to the identification of the eight best-ranked closed-end funds for investment [1] Group 2 - Fred Piard, a quantitative analyst with over 30 years of experience, focuses on data-driven systematic strategies and manages a portfolio of quality dividend stocks and innovative tech companies [2] - The investing group led by Fred Piard also provides market risk indicators, real estate strategies, bond strategies, and income strategies in closed-end funds [2]

Group 1 - The article discusses the expertise of Fred Piard, a quantitative analyst with over 30 years in technology, focusing on data-driven systematic investment strategies since 2010 [1] - Fred Piard manages an investing group called Quantitative Risk & Value, which emphasizes quality dividend stocks and innovative tech companies [1] - The article highlights that Fred provides various market risk indicators and investment strategies, including real estate, bonds, and income strategies in closed-end funds [1]

Core Insights - The article provides a top-down analysis of the S&P 500 Index, focusing on valuation, quality, and momentum metrics across various GICS sectors [1] Group 1: Analysis Methodology - The analysis may assist in evaluating funds that track the S&P 500 Index, such as those managed by State Street [1] Group 2: Analyst Background - The article features insights from Fred Piard, a quantitative analyst with over 30 years of experience in technology and a focus on data-driven systematic investment strategies since 2010 [1]

Core Insights - The article highlights the expertise of Fred Piard, a quantitative analyst with over 30 years in technology, focusing on data-driven systematic investment strategies since 2010 [1]. Group 1: Expertise and Background - Fred Piard has authored three books and runs an investing group called Quantitative Risk & Value, which focuses on quality dividend stocks and innovative tech companies [1]. - The article emphasizes Piard's experience in providing market risk indicators and various investment strategies, including real estate, bonds, and income strategies in closed-end funds [1].

分组1 - High yield ETFs and closed-end funds are experiencing capital and distribution decay, which can be mitigated through rotational strategies rather than long-term investments [1] - A 5-factor ranking system was designed in 2016 to monitor performance, leading to the identification of the eight best-ranked closed-end funds shared with members of an investing group [1] 分组2 - Fred Piard, a quantitative analyst with over 30 years of experience, focuses on data-driven systematic strategies and manages a portfolio of quality dividend stocks and innovative tech companies [2] - The investing group Quantitative Risk & Value provides market risk indicators, real estate strategies, bond strategies, and income strategies in closed-end funds [2]

Core Insights - The article provides a top-down analysis of the consumer staples sector, focusing on value, quality, and momentum metrics, which can aid in evaluating sector ETFs like the State Street® Consumer Staples Select Sector SPDR® ETF [1] Group 1 - The analysis is conducted by a quantitative analyst with over 30 years of experience in technology and a focus on data-driven systematic investment strategies since 2010 [1] - The analyst runs an investing group that shares a portfolio invested in quality dividend stocks and innovative tech companies, along with market risk indicators and various investment strategies [1]