WOODSTOCK, Ill., March 24, 2021 /PRNewswire/ -- The second edition of the business book Value Trap: Theory of Universal Valuation has been awarded the bronze medal in the category of Personal Finance/Retirement Planning/Investing at the 2021 Axiom Business Book Awards, presented by Jenkins Group. Less than 20% of this year's entries won an award, and medals went to a mix of the established Big 5 publishers, prestigious university presses, and independent publishers. Previous Axiom Business Book Award medalists include Nobel laureate Robert Shiller, former U.S. Secretary of State Condoleezza Rice, and world-renowned historian and Pulitzer Prize winner Doris Kearns Goodwin. "It's an honor to be in the company of such esteemed publishers and exemplary authors," said Valuentum's President Brian Nelson, CFA. "Thank you to everyone at Jenkins Group for having such a fine awards program, and my deepest congratulations to all of this year's winners." Nelson's book Value Trap continues to advance finance and investing, encouraging forward-looking analysis in quantitative data applications while warning about price-agnostic trading and its impact on the health of the stock market and the savings of everyday investors. BookLife by Publishers Weekly noted of Value Trap that "readers steeped in the stock market will appreciate this persuasive economic treatise, which sounds the alarm on spurious quantitative analysis." BlueInk Review said the book "stands on its considerable merits as a well written and cogent articulation of a distinct perspective on equity analysis." Review: "Data 'makes us feel like we are in control, but the conclusions can be misleading if the data isn't used in the right way, ' Nelson warns in his persuasive debut, which attempts to shift the market's belief in quantitative models of stock analysis back toward a more traditional enterprise valuation approach. Nelson, the president of equity and dividend growth research at Valuentum Securities, demonstrates how quantitative evaluative techniques that base pricing and investment strategies on trends in large sets of past data can lead investors to mistake correlation for causation. This can lead to conclusions that, as he puts it, are 'no more predictive than believing the divorce rate in Maine will fall if we just slow our margarine consumption' simply because those two statistics have risen and fallen together. Nelson makes the case that 'spurious' or statistically insignificant correlations