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Crypto Investing Strategies for Non-Greedy People
“The best-kept secret in the crypto investing world is this: People lose money. But no one says it expressly. The internet is filled with half-stories, FOMO, and FUD. The more you know, the less you care. More people are interested in bitcoin and cryptocurrencies every day. And the excitement causes them to jump in without a strategy. They often realize too late that they didn't invest, rather they gambled. The crypto investing strategies that work for individuals are different from those that work for institutions and family offices. The approach for investing 1,000 is different from the approach for 1,050,000. This is not about charts and trends, rather it is about fundamental analysis for proper asset allocation. No one can accurately predict what the price of bitcoin will be at any time in the future. There are only guesses. And they can be wrong. But one thing stands clear in bitcoin investing. It is not about when you buy. Instead, it is about how you buy.” -- Publisher marketing.
Book
Balancing Risk and Return in a Customer Portfolio
Marketing managers can increase shareholder value by structuring a customer portfolio to reduce the vulnerability and volatility of cash flows. This article demonstrates how financial portfolio theory provides an organizing framework for (1) diagnosing the variability in a customer portfolio, (2) assessing the complementarity/similarity of market segments, (3) exploring market segment weights in an optimized portfolio, and (4) isolating the reward on variability that individual customers or segments provide. Using a seven-year series of customer data from a large business-to-business firm, the authors demonstrate how market segments can be characterized in terms of risk and return. Next, they identify the firm's efficient portfolio and test it against (1) its current portfolio and (2) a hypothetical profit maximization portfolio. Then, using forward-and back-testing, the authors show that the efficient portfolio has consistently lower variability than the existing customer mix and the profit maximization portfolio. The authors provide guidelines for incorporating a risk overlay into established customer management frameworks. The approach is especially well suited for business-to-business firms that serve market segments drawn from diverse sectors of the economy.
Journal Article
The Global Crisis and Equity Market Contagion
We analyze the transmission of the 2007 to 2009 financial crisis to 415 country-industry equity portfolios. We use a factor model to predict crisis returns, defining unexplained increases in factor loadings and residual correlations as indicative of contagion. While we find evidence of contagion from the United States and the global financial sector, the effects are small. By contrast, there has been substantial contagion from domestic markets to individual domestic portfolios, with its severity inversely related to the quality of countries' economic fundamentals. This confirms the \"wake-up call\" hypothesis, with markets focusing more on country-specific characteristics during the crisis.
Journal Article
Financial Intermediaries and the Cross-Section of Asset Returns
Financial intermediaries trade frequently in many markets using sophisticated models. Their marginal value of wealth should therefore provide a more informative stochastic discount factor (SDF) than that of a representative consumer. Guided by theory, we use shocks to the leverage of securities broker-dealers to construct an intermediary SDF. Intuitively, deteriorating funding conditions are associated with deleveraging and high marginal value of wealth. Our single-factor model prices size, book-to-market, momentum, and bond portfolios with an R² of 77% and an average annual pricing error of 1%—performing as well as standard multifactor benchmarks designed to price these assets.
Journal Article
Dynamic Trading with Predictable Returns and Transaction Costs
We derive a closed-form optimal dynamic portfolio policy when trading is costly and security returns are predictable by signals with different mean-reversion speeds. The optimal strategy is characterized by two principles: (1) aim in front of the target, and (2) trade partially toward the current aim. Specifically, the optimal updated portfolio is a linear combination of the existing portfolio and an \"aim portfolio,\" which is a weighted average of the current Markowitz portfolio (the moving target) and the expected Markowitz portfolios on all future dates (where the target is moving). Intuitively, predictors with slower mean-reversion (alpha decay) get more weight in the aim portfolio. We implement the optimal strategy for commodity futures and find superior net returns relative to more naive benchmarks.
Journal Article
Optimal versus Naive Diversification: How Inefficient Is the 1/N Portfolio Strategy?
We evaluate the out-of-sample performance of the sample-based mean-variance model, and its extensions designed to reduce estimation error, relative to the naive 1/N portfolio. Of the 14 models we evaluate across seven empirical datasets, none is consistently better than the 1/N rule in terms of Sharpe ratio, certainty-equivalent return, or turnover, which indicates that, out of sample, the gain from optimal diversification is more than offset by estimation error. Based on parameters calibrated to the US equity market, our analytical results and simulations show that the estimation window needed for the sample-based mean-variance strategy and its extensions to outperform the 1/N benchmark is around 3000 months for a portfolio with 25 assets and about 6000 months for a portfolio with 50 assets. This suggests that there are still many \"miles to go\" before the gains promised by optimal portfolio choice can actually be realized out of sample.
Journal Article
Vast Portfolio Selection With Gross-Exposure Constraints
This article introduces the large portfolio selection using gross-exposure constraints. It shows that with gross-exposure constraints, the empirically selected optimal portfolios based on estimated covariance matrices have similar performance to the theoretical optimal ones and there is no error accumulation effect from estimation of vast covariance matrices. This gives theoretical justification to the empirical results by Jagannathan and Ma. It also shows that the no-short-sale portfolio can be improved by allowing some short positions. The applications to portfolio selection, tracking, and improvements are also addressed. The utility of our new approach is illustrated by simulation and empirical studies on the 100 Fama-French industrial portfolios and the 600 stocks randomly selected from Russell 3000.
Journal Article
Information Immobility and the Home Bias Puzzle
Many argue that home bias arises because home investors can predict home asset payoffs more accurately than foreigners can. But why does global information access not eliminate this asymmetry? We model investors, endowed with a small home information advantage, who choose what information to learn before they invest. Surprisingly, even when home investors can learn what foreigners know, they choose not to: Investors profit more from knowing information others do not know. Learning amplifies information asymmetry. The model matches patterns of local and industry bias, foreign investments, portfolio outperformance, and asset prices. Finally, we propose new avenues for empirical research.
Journal Article
The Agency Problems of Institutional Investors
Financial economics and corporate governance have long focused on the agency problems between corporate managers and shareholders that result from the dispersion of ownership in large publicly traded corporations. In this paper, we focus on how the rise of institutional investors over the past several decades has transformed the corporate landscape and, in turn, the governance problems of the modern corporation. The rise of institutional investors has led to increased concentration of equity ownership, with most public corporations now having a substantial proportion of their shares held by a small number of institutional investors. At the same time, these institutions are controlled by investment managers, which have their own agency problems vis-à-vis their own beneficial investors. We develop an analytical framework for understanding the agency problems of institutional investors, and apply it to examine the agency problems and behavior of several key types of investment managers, including those that manage mutual funds—both index funds and actively managed funds—and activist hedge funds. We show that index funds have especially poor incentives to engage in stewardship activities that could improve governance and increase value. Activist hedge funds have substantially better incentives than managers of index funds or active mutual funds. While their activities may partially compensate, we show that they do not provide a complete solution for the agency problems of other institutional investors.
Journal Article
Is Unbiased Financial Advice to Retail Investors Sufficient? Answers from a Large Field Study
Working with one of the largest brokerages in Germany, we record what happens when unbiased investment advice is offered to a random set of approximately 8,000 active retail customers out of the brokerage's several hundred thousand retail customers. We find that investors who most need the financial advice are least likely to obtain it. The investors who do obtain the advice (about 5%), however, hardly follow the advice and do not improve their portfolio efficiency by much. Overall, our results imply that the mere availability of unbiased financial advice is a necessary but not sufficient condition for benefiting retail investors.
Journal Article