The concept of Adaptive Investment Approach [1] (AIA), first proposed by Ma (2010, 2013, 2015), is the name given to the investment strategies that under which investors can constantly adjust their investments to reflect market conditions such as the volatility of investments, the return or the current condition of the market (Bull or Bear). The purpose of the approach is to achieve positive returns regardless of the timing in the investing environment. The AIA is a product of the theory of adaptive market hypothesis (AMH) proposed by Lo (2004, 2005, 2012). In contrast to efficient-market hypothesis (EMH), AMH regards markets as a constantly adaptive process from which the market is moving from inefficiency to efficiency, thus allowing developments in economies and behavioral finance factors to be accounted for in driving market returns.
The two deep bear markets in the first decade of the 21st century challenged the conventional wisdom such as Efficient Market Hypothesis or Modern Portfolio Theory (MPT). Many of the assumptions behind Efficient Market Theory and MPT, like the assumed direct positive relationship between risk and return, stable volatility, and correlation across time, were shown to fall short when attempting to explain behavior in the market. A use of the Efficient Market Theory is a strategy dubbed the Buy and Hold that makes no use of market timing to achieve desirable returns. The notion is that in the case that all fundamental information is utilized; an investor can gain no benefit from trying to time the market. The practice can be useful when the market is in an upswing, but it can lead to large losses occasionally that can destroy investors' wealth and confidence. The lack of confidence can lead to the investor failing to capitalize on the market rebound.
As an alternative, the adaptive market hypothesis is an attempt to combine the rational principles based on the Efficient Market Hypothesis with the irrational principles of the market because of human psychology. The Efficient Market Hypothesis suggests that market efficiency is not an absolute circumstance, but instead, it can be seen as a constantly adaptive process of moving from market inefficiency to efficiency. The understanding of this concept can help investors take advantage of arbitrage opportunities and time the market more effectively.
Adaptive investment approach aims to deliver consistent returns by adapting to the ever-changing market conditions. There are many deviations of how to develop an adaptive approach but three methods are particularly interesting:
Ma (2015) shows that all the three approach can be integrated into a more robust system of investing. The Adaptive Investment Approach possesses the ability to assist individuals that are attempting to gain favorable returns while simultaneously focusing on capital preservation.
Passive management is an investing strategy that tracks a market-weighted index or portfolio. Passive management is most common on the equity market, where index funds track a stock market index, but it is becoming more common in other investment types, including bonds, commodities and hedge funds.
Financial economics is the branch of economics characterized by a "concentration on monetary activities", in which "money of one type or another is likely to appear on both sides of a trade". Its concern is thus the interrelation of financial variables, such as share prices, interest rates and exchange rates, as opposed to those concerning the real economy. It has two main areas of focus: asset pricing and corporate finance; the first being the perspective of providers of capital, i.e. investors, and the second of users of capital. It thus provides the theoretical underpinning for much of finance.
The efficient-market hypothesis (EMH) is a hypothesis in financial economics that states that asset prices reflect all available information. A direct implication is that it is impossible to "beat the market" consistently on a risk-adjusted basis since market prices should only react to new information.
Modern portfolio theory (MPT), or mean-variance analysis, is a mathematical framework for assembling a portfolio of assets such that the expected return is maximized for a given level of risk. It is a formalization and extension of diversification in investing, the idea that owning different kinds of financial assets is less risky than owning only one type. Its key insight is that an asset's risk and return should not be assessed by itself, but by how it contributes to a portfolio's overall risk and return. The variance of return is used as a measure of risk, because it is tractable when assets are combined into portfolios. Often, the historical variance and covariance of returns is used as a proxy for the forward-looking versions of these quantities, but other, more sophisticated methods are available.
In finance, a portfolio is a collection of investments.
Active management is an approach to investing. In an actively managed portfolio of investments, the investor selects the investments that make up the portfolio. Active management is often compared to passive management or index investing.
Alpha is a measure of the active return on an investment, the performance of that investment compared with a suitable market index. An alpha of 1% means the investment's return on investment over a selected period of time was 1% better than the market during that same period; a negative alpha means the investment underperformed the market.
The random walk hypothesis is a financial theory stating that stock market prices evolve according to a random walk and thus cannot be predicted.
Asset allocation is the implementation of an investment strategy that attempts to balance risk versus reward by adjusting the percentage of each asset in an investment portfolio according to the investor's risk tolerance, goals and investment time frame. The focus is on the characteristics of the overall portfolio. Such a strategy contrasts with an approach that focuses on individual assets.
Momentum investing is a system of buying stocks or other securities that have had high returns over the past three to twelve months, and selling those that have had poor returns over the same period.
In finance and investing, rebalancing of investments is a strategy of bringing a portfolio that has deviated away from one's target asset allocation back into line. This can be implemented by transferring assets, that is, selling investments of an asset class that is overweight and using the money to buy investments in a class that is underweight, but it also applies to adding or removing money from a portfolio, that is, putting new money into an underweight class, or making withdrawals from an overweight class.
The following outline is provided as an overview of and topical guide to finance:
Tactical asset allocation (TAA) is a dynamic investment strategy that actively adjusts a portfolio's asset allocation. The goal of a TAA strategy is to improve the risk-adjusted returns of passive management investing.
Simply stated, post-modern portfolio theory (PMPT) is an extension of the traditional modern portfolio theory (MPT) of Markowitz and Sharpe. Both theories provide analytical methods for rational investors to use diversification to optimize their investment portfolios. The essential difference between PMPT and MPT is that PMPT emphasizes the return that must be earned on an investment in order to meet future, specified obligations, MPT is concerned only with the absolute return vis-a-vis the risk-free rate.
The adaptive market hypothesis, as proposed by Andrew Lo, is an attempt to reconcile economic theories based on the efficient market hypothesis with behavioral economics, by applying the principles of evolution to financial interactions: competition, adaptation, and natural selection. This view is part of a larger school of thought known as Evolutionary Economics.
Risk parity is an approach to investment management which focuses on allocation of risk, usually defined as volatility, rather than allocation of capital. The risk parity approach asserts that when asset allocations are adjusted to the same risk level, the risk parity portfolio can achieve a higher Sharpe ratio and can be more resistant to market downturns than the traditional portfolio. Risk parity is vulnerable to significant shifts in correlation regimes, such as observed in Q1 2020, which led to the significant underperformance of risk-parity funds in the Covid-19 sell-off.
Goals-Based Investing or Goal-Driven Investing is the use of financial markets to fund goals within a specified period of time. Traditional portfolio construction balances expected portfolio variance with return and uses a risk aversion metric to select the optimal mix of investments. By contrast, GBI optimizes an investment mix to minimize the probability of failing to achieve a minimum wealth level within a set period of time.
Maslowian portfolio theory (MaPT) creates a normative portfolio theory based on human needs as described by Abraham Maslow. It is in general agreement with behavioral portfolio theory, and is explained in Maslowian Portfolio Theory: An alternative formulation of the Behavioural Portfolio Theory, and was first observed in Behavioural Finance and Decision Making in Financial Markets.
Factor investing is an investment approach that involves targeting quantifiable firm characteristics or “factors” that can explain differences in stock returns. Security characteristics that may be included in a factor-based approach include size, low-volatility, value, momentum, asset growth, profitability, leverage, term and carry.
Style drift occurs when a mutual fund's actual and declared investment style differs. A mutual fund’s declared investment style can be found in the fund prospectus which investors commonly rely upon to aid their investment decisions. For most investors, they assumed that mutual fund managers will invest according to the advertised guidelines, this is however, not the case for a fund with style drift. Style drift is commonplace in today’s mutual fund industry, making no distinction between developed and developing markets according to studies in the United States by Brown and Goetzmann (1997) and in China as reported in Sina Finance.