What Is Value?

Mukul Pal
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Abstract

The work of Jules Regnault, Francis Galton, John Rae and Vilfredo Pareto covered Duration, Behavior, and Value. Regnault talked about stock market science, statistical nature of Value, duration importance and price behavior. Galton laid the foundation for the robust behavior of Reversion in natural phenomenon. Rae introduced the idea of intertemporal choices which showcased time inconsistency in human behavior and Pareto talked about another robust behavior now known to be ubiquitous in natural systems as a power law. Duration, Behavior, and Value are inseparable. Statistical behavior of natural systems (e.g. stock markets) expresses themselves durationally. And because stock market systems exhibit uncertainty and order, this creates inconsistencies (anomalies). Instead of acknowledging the statistical behavior of stock market systems, a few generations of researchers have focused on explaining these inconsistencies through behavioral biases, leading to a polarized debate around efficiency and inefficiency of markets. This debate has many casualties, one of the key being the global investor and how he(she) understands Value. If stock market systems function statistically, value creation and its transformation into growth are statistical phenomena rather than driven by fundamental, psychological or economic factors. Value is misunderstood by the global investor. Despite the fact that Value stocks move from an inexpensive state to expensive state while Growth under performs and drags in performance over the longer durations moving from an expensive state to a less expensive state, Value and Growth are interpreted as disconnected ideas which are assumed to be only defined fundamentally. This narrow definition of Value has added to the academic confusion around inconsistencies and created an investing style bias. Investing styles are at the heart of the investment business, which brings along with it new factors like ‘Size’. These various factors overlap with each other. On occasions, it has been even seen that the factors are a proxy for each other. This raises the question regarding the theoretical foundation driving the respective factors. If Value can be explained statistically, it will also explain factors like Growth, Size, Momentum and other factors and hence bring in a needed clarity of how markets function and whether there is a universal factor that drives stock market systems.
什么是价值?
Jules Regnault、Francis Galton、John Rae和Vilfredo Pareto的研究涵盖了持续时间、行为和价值。Regnault谈到了股票市场科学、价值的统计性质、持续时间的重要性和价格行为。高尔顿为自然现象中回归的鲁棒性奠定了基础。Rae引入了跨时间选择的概念,它展示了人类行为的时间不一致性,而帕累托谈到了另一种强健的行为,现在被认为是自然系统中普遍存在的幂律。时间、行为和价值是不可分割的。自然系统(如股票市场)的统计行为是持续的。由于股票市场系统表现出不确定性和秩序,这就造成了不一致性(异常)。几代研究人员没有承认股票市场系统的统计行为,而是专注于通过行为偏差来解释这些不一致,从而导致了围绕市场效率和无效率的两极分化辩论。这场辩论造成了许多伤亡,其中一个关键是全球投资者以及他(她)如何理解价值。如果股票市场系统以统计方式运作,那么价值创造及其向增长的转化就是统计现象,而不是由基本面、心理或经济因素驱动的。价值被全球投资者误解了。尽管事实上价值型股票从便宜的状态到昂贵的状态,而成长型股票在从昂贵的状态到较便宜的状态的较长时间内表现不佳并拖累业绩,但价值和成长型股票被解释为不相关的概念,被认为只是基本的定义。这种狭隘的价值定义增加了学术界对不一致性的困惑,并造成了一种投资风格偏见。投资风格是投资业务的核心,它带来了新的因素,如“规模”。这些不同的因素相互重叠。有时,人们甚至认为这些因素是相互代表的。这就提出了关于驱动各自因素的理论基础的问题。如果价值可以用统计学的方法来解释,那么它也可以解释成长性、规模、动量和其他因素,从而使我们更清楚地了解市场是如何运作的,以及是否存在一个驱动股市系统的普遍因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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