Scott Reardon is a value investor who runs Dakota Value Funds. They fund operates both a deep value quantitative strategy and a fundamental strategy focusing on buying high quality businesses at strong valuations. Additionally, Scott is a bestselling novelist who wrote the Dark Continent thriller series and Bonfire of the Beast.

In this conversation, we talk about the nuances and limitations of quantitative vs. fundamental approaches to value investing. We also discuss Scott’s study of great value investors and his literary career.Links:

* Scott’s novels: https://www.amazon.com/stores/Scott-Reardon/author/B01N388V6J

* The Dakota Value Funds:

https://www.dakotavalue.com/

Disclaimer

Nothing on this podcast is investment advice.The information in this podcast is for information and discussion purposes only. It does not constitute a recommendation to purchase or sell any financial instruments or other products. Investment decisions should not be made with this article and one should take into account the investment objectives or financial situation of any particular person or institution.

Investors should obtain advice based on their own individual circumstances from their own tax, financial, legal, and other advisers about the risks and merits of any transaction before making an investment decision, and only make such decisions on the basis of the investor’s own objectives, experience, and resources.

The information contained in this podcast & show notes is based on generally-available information and, although obtained from sources believed to be reliable, its accuracy and completeness cannot be assured, and such information may be incomplete or condensed.

Investments in financial instruments or other products carry significant risk, including the possible total loss of the principal amount invested. This podcast, the host, and the guest do not purport to identify all the risks or material considerations that may be associated with entering into any transaction. This host & guest accepts no liability for any loss (whether direct, indirect, or consequential) that may arise from any use of the information contained in or derived from this content.

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