Portfolio Allocation with Medical Expenditure Risk---A Life Cycle Model and Machine Learning Analysis PDF Download
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Author: You Du Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
This paper explores how the medical expenditure risk affects the households' portfolio choice across health status theoretically in a life cycle model and empirically using machine learning methods. Medical expenditure risk, as a background risk, can relocate households' financial decisions. A higher medical expenditure risk leads to a larger fluctuation and more uncertainty in households' consumption and therefore, utility. As a result, risk-free assets become more preferable. Our machine learning analysis shows evidence consistent with the theoretical life cycle model predictions. In particular, households with better health status tend to hold more stocks and conditional on being in good health status, households are willing to invest more in safe assets if they face a higher medical expenditure risk.
Author: You Du Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
This paper explores how the medical expenditure risk affects the households' portfolio choice across health status theoretically in a life cycle model and empirically using machine learning methods. Medical expenditure risk, as a background risk, can relocate households' financial decisions. A higher medical expenditure risk leads to a larger fluctuation and more uncertainty in households' consumption and therefore, utility. As a result, risk-free assets become more preferable. Our machine learning analysis shows evidence consistent with the theoretical life cycle model predictions. In particular, households with better health status tend to hold more stocks and conditional on being in good health status, households are willing to invest more in safe assets if they face a higher medical expenditure risk.
Author: Tae-Young Pak Publisher: ISBN: Category : Languages : en Pages : 302
Book Description
This dissertation considers household portfolio choice at the end of life-cycle. Three essays examine the importance of uncertainty about medical expenditure risk, cognitive aging, and subjective life horizon, and their role in explaining late-life savings decisions and portfolio allocation. Chapter 2 of the dissertation, entitled "Medical expenditure risk and precautionary saving: Evidence from Medicare Part D", tests the presence of precautionary saving motive to cope with medical expenditure risk. By examining Medicare Part D and it's association with household saving, I demonstrate that social insurance programs discourage private saving by reducing health-related uncertainty. Chapter 3 of the dissertation, entitled "Econometric analysis of cognitive abilities and portfolio choice", explores the role of cognitive aging in explaining a portfolio rebalancing towards safer assets at the end of life-cycle. In this essay, I argue that a gradual decrease in risky asset ownership at the end of life-cycle is in part driven by losing cognitive capabilities. I pay particular attention to testing whether such association is observed only on the extensive margin - that is, changes in ownership, or both risky asset ownership and reallocation across the intensive margin are affected. Causality is tested by exploiting exogenous variation in cognitive health, created by the introduction of Medicare Part D in 2006. Chapter 4 of the dissertation, entitled "Subjective life expectancy and portfolio choice: A household bargaining approach", examines collective decision-making when spouses have an incentive to bargain over portfolio allocation. This article starts with two well-known facts: (a) difference in life expectancy between husband and wife; and (b) age disparity in marriage. These two facts imply that females, on average, face 5 or 6 years longer retirement period to finance, and thus have more incentive to hold risky assets to achieve higher expected capital gains in the long-term. A difference in life expectancy then creates an incentive to bargain over how to allocate savings to risky and non-risky assets. The estimation results indeed show that more financial wealth is allocated to risky assets when a spouse with longer life expectancy has the "final say."
Author: Wayne Ferson Publisher: MIT Press ISBN: 0262039370 Category : Business & Economics Languages : en Pages : 497
Book Description
An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Author: Söhnke M. Bartram Publisher: CFA Institute Research Foundation ISBN: 195292703X Category : Business & Economics Languages : en Pages : 95
Book Description
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
Author: Francisco Gomes Publisher: ISBN: Category : Languages : en Pages : 46
Book Description
We study life-cycle asset allocation in the presence of liquidity constraints and undiversifiable labor income risk. The model includes three different assets (cash, long-term government bonds and stocks) and it takes into account the life-cycle profile of housing expenditures. With a modest correlation between stock returns and earnings innovations, the mean share of wealth invested in stocks never exceeds 45% during working-life. Moreover, the combination of uninsurable human capital and borrowing constraints rationalizes the asset allocation puzzle of Canner, Mankiw and Weil (1997). Nevertheless we argue that asset allocation models must match another important feature of the data: a low stock market participation rate. Along this dimension the model provides a very modest improvement, still predicting a counterfactually high participation rate. We show that this arises from the link between risk aversion and prudence, implying that explanations for the participation puzzle based on the role of background risk are unlikely to succeed.
Author: Victor Duarte Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
We develop a machine-learning solution algorithm to solve for optimal portfolio choice in a detailed and quantitatively-accurate lifecycle model that includes many features of reality modelled only separately in previous work. We use the quantitative model to evaluate the consumption-equivalent welfare losses from using simple rules for portfolio allocation across stocks, bonds, and liquid accounts instead of the optimal portfolio choices. We find that the consumption-equivalent losses from using an age-dependent rule as embedded in current target-date/lifecycle funds (TDFs) are substantial, around 2 to 3 percent of consumption, despite the fact that TDF rules mimic average optimal behavior by age closely until shortly before retirement. Our model recommends higher average equity shares in the second half of life than the portfolio of the typical TDF, so that the typical TDF portfolio does not improve on investing an age-independent 2/3 share in equity. Finally, optimal equity shares have substantial heterogeneity, particularly by wealth level, state of the business cycle, and dividend-price ratio, implying substantial gains to further customization of advice or TDFs in these dimensions.
Author: Fabio C. Bagliano Publisher: ISBN: Category : Languages : en Pages : 20
Book Description
In this paper we extend the traditional life cycle model of saving and portfolio choice to allow for possible long-term unemployment spells to have permanent effects on subsequent labor income prospects. The risk of losing future labor income could imply strong human capital erosion for the investor at any age, dampening the incentive to invest in risky stocks. The resulting optimal portfolio share invested in stocks may be relatively flat in age, more in line with the available evidence and contrary to the predictions of traditional life-cycle models.
Author: Ahti Salo Publisher: Springer Science & Business Media ISBN: 1441999434 Category : Business & Economics Languages : en Pages : 410
Book Description
Portfolio Decision Analysis: Improved Methods for Resource Allocation provides an extensive, up-to-date coverage of decision analytic methods which help firms and public organizations allocate resources to 'lumpy' investment opportunities while explicitly recognizing relevant financial and non-financial evaluation criteria and the presence of alternative investment opportunities. In particular, it discusses the evolution of these methods, presents new methodological advances and illustrates their use across several application domains. The book offers a many-faceted treatment of portfolio decision analysis (PDA). Among other things, it (i) synthesizes the state-of-play in PDA, (ii) describes novel methodologies, (iii) fosters the deployment of these methodologies, and (iv) contributes to the strengthening of research on PDA. Portfolio problems are widely regarded as the single most important application context of decision analysis, and, with its extensive and unique coverage of these problems, this book is a much-needed addition to the literature. The book also presents innovative treatments of new methodological approaches and their uses in applications. The intended audience consists of practitioners and researchers who wish to gain a good understanding of portfolio decision analysis and insights into how PDA methods can be leveraged in different application contexts. The book can also be employed in courses at the post-graduate level.
Author: Claudio Campanale Publisher: ISBN: Category : Languages : en Pages : 55
Book Description
In the present paper I develop a life-cycle portfolio choice model where agents perceive stock returns to be ambiguous and are ambiguity averse. As in Epstein and Schneider (2005) part of the ambiguity vanishes over time as a consequence of learning over observed returns. The model shows that ambiguity alone can rationalize moderate stock market participation rates and conditional shares with reasonable participation costs but has strongly counterfactual implications for conditional allocations to stocks by age and wealth. When learning is allowed, conditional shares over the life-cycle are instead aligned with the empirical evidence and patterns of stock holdings over the wealth distribution get closer to the data.
Author: You Du
Author: You Du
Author: Tae-Young Pak
Author: Wayne Ferson
Author: Söhnke M. Bartram
Author: Francisco J. Gomes
Author: Francisco Gomes
Author: Victor Duarte
Author: Fabio C. Bagliano
Author: Ahti Salo
Author: Claudio Campanale