LGIM Blog: Raj Shah

Disclaimer: Views in this blog do not promote, and are not directly connected to any Legal & General Investment Management (LGIM) product or service. Views are from a range of LGIM investment professionals and do not necessarily reflect the views of LGIM. For investment professionals only.

Raj is a Senior Quantitative Strategist at Legal & General Investment Management. He is an experienced investment professional and an artificial intelligence (AI) researcher. Raj previously was a portfolio manager at Rothko Investment Strategies, specialising in EM and small-cap equities. Prior to Rothko, Raj held a senior position at Hymans Robertson as Head of DC Investments and was an investment consultant at Buck Consultants and Mercer. He has a Masters in Mathematics, Operational Research, Statistics and Economics (MMORSE) from the University of Warwick, an MSc in Data Science from City, University of London and is a fully qualified actuary (Fellow of the Institute of Actuaries).

Other articles by Raj Shah

Low vol winners

The low-volatility factor: Winning by losing less (until recently)

In the final instalment of a series on this factor, we look at the performance characteristics of low-volatility strategies.

Deviation crop

The low-volatility factor: Not-so-standard deviation

In the second instalment of a new series on factor investing, we consider how the risk of a stock can be defined and explain why downside volatility could provide a better assessment than standard deviation.

Low volatility

The low-volatility factor: A very human origin story

In the first instalment of a new series on factor investing, we examine the ‘anomaly’ of low-risk investing and consider the behavioural biases that could explain its existence.

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