Life-cycle portfolio choice with liquid and illiquid financial assets

Traditionally, quantitative models that have studied households׳ portfolio choices have focused exclusively on the different risk properties of alternative financial assets. We introduce differences in liquidity across assets in the standard life-cycle model of portfolio choice. More precisely, in our model, stocks are subject to transaction costs, as considered in recent macroliterature. We show that when these costs are calibrated to match the observed infrequency of households׳ trading, the model is able to generate patterns of portfolio stock allocation over age and wealth that are constant or moderately increasing, thus more in line with the existing empirical evidence.     

Hedging Housing Risk in London

This paper investigates the benefits of allowing households to compensate the portfolio distortion due to their housing consumption through investments in housing price derivatives. Focusing on the London market, we show that a major loss from over-investment in housing is that households are forced to hold a very risky portfolio. However, the strong performance of the London housing market means that little is lost in terms of expected returns. Even households with limited wealth are better off owning their home rather than renting and investing in financial assets, as long as they are willing to face the financial risk involved. In this context, access to housing price derivatives would benefit most poor homeowners looking to limit their risk exposure. It would also benefit wealthier investors looking for the high returns provided by housing investments without the costs of direct ownership of properties. Comparisons with French, Swedish and U.S. data provide a broader perspective on our findings.     

Financial advisor participation rates and low net worth investors

This study presents a simple analytical framework to identify the key determinants underlying the incentives for households to engage financial advisors. Using the US 2007 Survey of Consumer Finances, we employ a logistic regression approach to understand the characteristics of households who engage financial advisors for investment or comprehensive financial advice. We find that age, education, employment category, income and net worth are highly significant variables related to the propensity to engage a financial advisor. The results also indicate significantly reduced active engagement between advisors and low net worth investors than claimed by the low net worth investors in the survey. We construct a model to derive the expected fee profile of financial advisors as a function of wealth and compare the fee structure against a financial advisor client portfolio. We find that a combination of lower aggregate costs per investor and higher expected fee income motivates advisors to target higher net worth investors. Advisors therefore prefer higher net worth investors due to the lower aggregate costs of engagement, which drives low investment participation rates by less wealthy households.     

A further look at household portfolio choice and health status

This paper investigates the effect of changes in health status on household financial wealth and financial portfolio choice. It is shown that the impact of health events on household financial and non-financial wealth is asymmetric. A diagnosis of a new disease leads to a larger decrease in financial wealth than in non-financial wealth. Moreover, we find that the puzzle pertaining to the relationship between health status and portfolio choice discussed in the extant literature generally disappears after controlling for differences in the amount of financial assets held by healthy and sick people. The results suggest that the effect of changes in health status on household financial portfolios is indirect. A health shock significantly reduces household total financial wealth, in turn leading households to restructure the composition of their financial assets.     

Why does junior put all his eggs in one basket? A potential rational explanation for holding concentrated portfolios

Empirical studies of household portfolios show that young households, with little financial wealth, hold underdiversified portfolios that are concentrated in a small number of assets, a fact often attributed to behavioral biases. We present a potential rational alternative: we show that investors with little financial wealth, who receive labor income, rationally limit the number of assets they invest in when faced with financial constraints such as margin requirements and restrictions on borrowing. We provide theoretical and numerical support for our results and identify the ratio of financial wealth to labor income as a useful control variable for household portfolio studies.     

Portfolio choice with indivisible and illiquid housing assets: the case of Spain

This paper studies the investment decisions of Spanish households using a unique data-set, the Spanish Survey of Household Finance (EFF). We propose a theoretical model in which households, given a fixed investment in housing, allocate their net wealth across bank time deposits, stocks and mortgage. Besides considering housing as an indivisible and illiquid asset that restricts the portfolio choice decision, we take into account the financial constraints that households face when they apply for external funding. For every representative household in the EFF, we solve this theoretical problem and obtain the theoretically optimal portfolio that is then compared with households’ actual choices. We find that households significantly under-invest in stocks and deposits while the optimal and actual mortgage investments agree. Considering the three types of financial assets at once, we find that the households headed by highly financially sophisticated, older, retired, richer, and unconstrained persons are the ones investing more efficiently.     

Individual investors’ information use,subjective expectations,and portfolio risk and return

What information do individual investors use when making their financial decisions and how is it related to their stock market expectations, their confidence in these expectations, and the risk and return of their stock portfolios? I study these questions by combining survey data on the information usage among individual investors in Sweden with detailed registry data on their stock portfolios. I find that investors use filtered financial information (e.g. information packaged by a professional intermediary) more frequently than they use unfiltered financial information (e.g. information from annual reports and financial statements). Investors who frequently use filtered financial information are, however, more confident in their stock market expectations and take larger risks in their stock portfolios. Investors that instead use unfiltered financial information take lower portfolio risks and obtain higher portfolio returns. The findings in this paper thus suggest that investors can improve their financial decisions by using more unfiltered financial information rather than filtered financial information when they make their financial decisions.     

Internalisation by electronic FX spot dealers

Dealers in over-the-counter financial markets provide liquidity to customers on a principal basis and manage the risk position that arises out of this activity in one of two ways. They may internalise a customer's trade by warehousing the risk in anticipation of future offsetting flow, or they can externalise the trade by hedging it out in the open market. It is often argued that internalisation underlies much of the liquidity provision in the currency markets, particularly in the electronic spot segment, and that it can deliver significant benefits in terms of depth and consistency of liquidity, reduced spreads, and a diminished market footprint. However, for many market participants, the internalisation process can be somewhat opaque, data on it are scarcely available, and even the largest and most sophisticated customers in the market often do not appreciate or measure the impact that internalisation has on their execution costs and liquidity access. This paper formulates a simple model of internalisation and uses queuing theory to provide important insights into its mechanics and properties. We derive closed form expressions for the internalisation horizon and demonstrate—using data from the Bank of International Settlement's triennial FX survey—that a representative tier 1 dealer takes on average several minutes to complete the internalisation of a customer's trade in the most liquid currencies, increasing to tens of minutes for emerging markets. Next, we analyse the costs of internalisation and show that they are lower for dealers that are willing to hold more risk and for those that face more price-sensitive traders. The key message of the paper is that a customer's transaction costs and liquidity access are determined both by their own trading decisions as well as the dealer's risk management approach. A customer should not only identify the externalisers but also distinguish between passive and aggressive internalisers, and select those that provide liquidity compatible with their execution objectives.     

Dynamic portfolio choice with deferred annuities

We derive the optimal life-cycle portfolio choice and consumption pattern for households facing uncertain labor income, risky capital market, and mortality risk. In addition to stocks and bonds, the households have access to deferred annuities. Deferred payout life annuities are financial contracts providing life-long income to the annuitant after a specified period of time conditional on survival. We find that deferred annuities play an important role in household portfolios and generate significant welfare gains. Households with high benefits from state pensions, moderate risk aversion and moderate labor income risk purchase deferred annuities from age 40 and gradually increase their portfolio share. At retirement, deferred annuities account for 78% of total financial wealth. Households with low state pensions and high labor income risk purchase more annuities and earlier. Uncertainty with respect to future mortality rates has the same effect, i.e. household hedge against longevity risks using deferred annuities.     

Commercial bank asset portfolio behavior in the United States: Evidence of a change in structure

The development of a short-term borrowing option by a financial industry should lower the liquid-asset share of its portfolio and increase the shares invested in higher-earning, less-liquid, alternative investments. A marked shift in commercial-bank portfolio shares in this direction did, in fact, occur between 1960 and 1970. The development of a borrowing option should also increase the willingness of banks to satisfy temporary extraordinary demands for funds by their customers. Comparison of equation estimates on data from the 1960s and the 1970s is strongly supportive of the increased-willingness hypothesis regarding loans to both businesses and households.     

Population age structure and household portfolio choices in Italy

Based on the exceptional ageing of the Italian population, this paper aims to contribute to the current debate on population ageing and financial markets. To this end, we use the data taken by the Bank of Italy Survey of Household Income and Wealth over the period 1995–2006, and we analyse the average household portfolios in relation to age and net wealth (NW). Our analysis rests on a clustering of assets according to risk, which is different from the one used in Guiso and Jappelli (Guiso, L., and T. Jappelli. 2002. The portfolio of Italian households. In Household portfolios, eds. L. Guiso, M. Haliassos, and T. Jappelli. Cambridge: MIT Press). We find that age has affected financial choices of Italian households over the whole decade, but the portfolio age profile has significantly evolved over time with important differences across wealth quartiles. Overall, our analysis highlights a tendency towards a hump-shaped age profile of the allocation in risky assets for the most NW levels.     

Real Activity Forecasts Using Loan Portfolio Information

To extend and monitor loans, banks collect detailed and proprietary information about the financial prospects of their customers, many of whom are local businesses and households. Therefore, banks’ loan portfolios contain potentially useful information about local economic conditions. We investigate the association between information in loan portfolios and local economic conditions. Using a sample of U.S. commercial banks from 1990:Q1 to 2013:Q4, we document that information in loan portfolios aggregated to the state level is associated with current and future changes in statewide economic conditions. Furthermore, the provision for loan and lease losses contains information incremental to leading indicators of state‐level economic activity and recessions. Loan portfolio information also helps to improve predictions of economic conditions at more granular levels, such as at the commuting zone level. We discuss the relevance of these findings for economic analysis and forecasting, and the relation of our study to prior work on the informativeness of accounting information about the macroeconomy.     

Locus of control and savings

This paper analyzes the relationship between individuals’ locus of control and their savings behavior, i.e. wealth accumulation, savings rates, and portfolio choices. Locus of control is a psychological concept that captures individuals’ beliefs about the causal relationship between their own behavior and life events. We find that households with an internal reference person (a main respondent who believes that he/she can generally control relevant aspects of life) save more in terms of levels and, in some cases, as a percentage of their permanent incomes. Although the locus-of-control gap in savings rates is largest among rich households, the gap in wealth accumulation is particularly large for poor households. Finally, our findings indicate that households with an internal reference person are in a better position to save in forms that are harder to access (such as pension wealth) than otherwise similar households with an external reference person.     

Risk aversion measures: comparing attitudes and asset allocation

Households' reported willingness to take financial risk is compared to the riskiness of their portfolios, measured as risky assets to wealth. Overall, their portfolio allocations are reliable indicators of attitudes toward risk, demonstrating an understanding of their relative level of risk taking. Multivariate regression analysis using multiply imputed data from the 1989 Survey of Consumer Finances indicates that households generally exhibit decreasing relative risk aversion. Further, investment in risky assets is significantly related to socioeconomic factors, attitude toward risk taking, desire to leave an estate and expectations about the adequacy of Social Security and pension income.     

Algorithmic portfolio choice: lessons from panel survey data

Automated asset management offerings algorithmically assign risky portfolios to individual investors based on investor characteristics such as age, net income, or self-assessment of risk aversion. Using new German household panel data, we investigate the key household characteristics that drive private asset allocation decisions. This information allows us to assess which set of variables should be included in algorithmic portfolio advice. Using heavily cross-validated classification trees, we find that a combination of household balance sheet variables—describing the ability to take risks (e.g., net wealth)—and household personal characteristics—describing the willingness to take risks (e.g., risk aversion)—best explain the cross-sectional variation in household portfolio choice. Our empirical evidence is in line with models of portfolio choice under decreasing relative risk aversion and fixed investment costs. The results suggest the utility of a more holistic modeling of household characteristics. Including background risks in the form of household leverage not only makes investment sense, but is also the new regulatory reality under MIFID II rules. Robo-advisors are strongly advised to act accordingly.     

Financial Literacy and Portfolio Dynamics

We match administrative panel data on portfolio choices with survey measures of financial literacy. When we control for portfolio risk, the most literate households experience 0.4% higher annual returns than the least literate households. Distinct portfolio dynamics are the key determinant of this difference. More literate households hold riskier positions when expected returns are higher, they more actively rebalance their portfolios and do so in a way that holds their risk exposure relatively constant over time, and they are more likely to buy assets that provide higher returns than the assets that they sell.     

Conditional conservatism and trade credit during the global financial crisis

We investigate conditional conservatism and firms’ access to trade credit during the 2007–2008 global financial crisis. Previous studies argue that suppliers prefer conservative customers because of information asymmetry in production networks; we extend this line of research by focusing on trade credit during the 2007–2008 global financial crisis, a period that was characterized by a credit supply shock. We first document a positive association between conditional conservatism and firms’ access to trade credit both before and after the onset of the crisis, which indicates suppliers’ demand for conditional conservatism. Meanwhile, the association between conditional conservatism and trade credit experienced a significant decline following the onset of the crisis, and this only held when suppliers and customers had frequent transactions or were in close proximity, when transacted goods were standardized rather than differentiated, when customers were financially constrained and had high bargaining power, and when suppliers had sufficient liquidity. It implies that, when information asymmetry along the supply chain was low and customers had strong bargaining power, liquid suppliers increased their tolerance to less conservative customers, and they were even willing to grant trade credit to the less conservative customers that were financially constrained. Overall, this study adds to previous literature by demonstrating suppliers’ multifaceted demand for conditional conservatism.     

Proprietary Costs and the Disclosure of Information About Customers

In deciding how much information about their firms’ customers to disclose, managers face a trade off between the benefits of reducing information asymmetry with capital market participants and the costs of aiding competitors by revealing proprietary information. This paper investigates the determinants of managers’ choices to disclose information about their firms’ customers using a comprehensive data set of customer‐information disclosures over the period 1976–2006. We find robust evidence in support of the hypothesis that proprietary costs are an important factor in firms’ disclosure choices regarding information about large customers.     

Efficient portfolios when housing needs change over the life cycle

We address the issue of the efficiency of household portfolios in the presence of housing risk. We treat housing stock as an asset and rents as a stochastic liability stream: over the life cycle, households can be short or long in their net-housing position. Efficient financial portfolios are the sum of a standard Markowitz portfolio and a housing risk hedge term that multiplies net housing wealth. Our empirical results show that net housing plays a key role in determining which household portfolios are inefficient. The largest proportion of inefficient portfolios obtains among those with positive net housing, who should invest more in stocks.     

信贷增长如何影响中国的收入和财富不平等

本文基于中国家庭追踪调查(CFPS)数据考察了信贷增长对中国家庭收入和财富不平等的影响。整体而言，信贷增长可以缩小家庭收入不平等，主要作用机制是信贷增长通过提高中低收入群体的劳动收入和单位时薪以缩小劳动收入不平等。同时，文献中所发现的信贷增长可能恶化收入不平等的机制——扩大家庭间非货币金融资产差距，在我国表现并不明显，原因在于中国家庭的非货币金融资产比例较低，这一点对于高收入家庭也不例外，且大部分家庭难以从金融资产交易中获利。信贷增长带来了各个收入组的房屋价值上涨，但高收入家庭房产价值上涨的幅度高于中低收入家庭，因此房价上涨扩大了不同收入家庭所持有的房产价值差异。考虑到家庭调查数据往往对高收入家庭的收入和财产覆盖不完整，上述结论可能低估了信贷增长对极少数高收入家庭收入和资产的影响。本文有助于更好地理解我国信贷增长对收入分配问题的影响，为相关政策制定提供了一定启示。