1,721,004 research outputs found
Replication data for: Consumption Uncertainty and Precautionary Saving
No full textChristelis, Dimitris, Georgarakos, Dimitris, Jappelli, Tullio, and van Rooij, Maarten, (2020) "Consumption Uncertainty and Precautionary Saving." Review of Economics and Statistics 102:1, 148-161
Replication data for: Consumption Uncertainty and Precautionary Saving
No full textChristelis, Dimitris, Georgarakos, Dimitris, Jappelli, Tullio, and van Rooij, Maarten, (2020) "Consumption Uncertainty and Precautionary Saving." Review of Economics and Statistics 102:1, 148-161
Differences in Portfolios across Countries: Economic Environment versus Household Characteristics
Full text linkWe document and study international differences in both ownership and holdings of stocks, private businesses, homes, and mortgages among households aged fifty or more in thirteen countries, using new and comparable survey data. We employ counterfactual techniques to decompose observed differences across the Atlantic, within the US, and within Europe into those arising from differences in population characteristics and differences in economic environments. We then correlate the latter differences to country-level indicators. Ownership across the range of the assets considered tends to be more widespread among US households. We document that shortly prior to the current crisis, US households tended to invest larger amounts in stocks and smaller ones in homes, and to have larger mortgages in older age, even controlling for characteristics. This is consistent with the high prevalence of negative equity associated with the current crisis. More generally, we find that differences in household characteristics often play a small role, while differences in economic environments tend to explain most of the observed differences in ownership rates and in amounts held. The latter differences are much more pronounced among European countries than among US regions, suggesting further potential for harmonization of policies and institutions.
Financial Advisors: A Case of Babysitters?
Full text linkThis paper provides a joint analysis of household stockholding participation, stock location among stockholding modes, and participation spillovers, using data from the US Survey of Consumer Finances. Our multivariate choice model matches observed participation rates, conditional and unconditional, and asset location patterns. Financial education and sophistication strongly affect direct stockholding and mutual fund participation, while social interactions affect stockholding through retirement accounts only. Household characteristics influence stockholding through retirement accounts conditional on owning retirement accounts, unlike what happens with stockholding through mutual funds. Although stockholding is more common among retirement account owners, this fact is mainly due to their characteristics that led them to buy retirement accounts in the first place rather than to any informational advantages gained through retirement account ownership itself. Finally, our results suggest that, taking stockholding as given, stock location is not arbitrary but crucially depends on investor characteristics.Financial Advice, Portfolio Choice, Household Finance
Financial advisors: a case of babysitters?
Full text linkWe merge administrative information from a large German discount brokerage firm with regional data to examine if financial advisors improve portfolio performance. Our data track accounts of 32,751 randomly selected individual customers over 66 months and allow direct comparison of performance across self-managed accounts and accounts run by, or in consultation with, independent financial advisors. In contrast to the picture painted by simple descriptive statistics, econometric analysis that corrects for the endogeneity of the choice of having a financial advisor suggests that advisors are associated with lower total and excess account returns, higher portfolio risk and probabilities of losses, and higher trading frequency and portfolio turnover relative to what account owners of given characteristics tend to achieve on their own. Regression analysis of who uses an IFA suggests that IFAs are matched with richer, older investors rather than with poorer, younger ones
Economic integration and mature portfolios
Full text linkThis paper documents and studies sources of international differences in participation and holdings in stocks, private businesses, and homes among households aged 50+ in the US, England, and eleven continental European countries, using new internationally comparable, household-level data. With greater integration of asset and labor markets and policies, households of given characteristics should be holding more similar portfolios for old age. We decompose observed differences across the Atlantic, within the US, and within Europe into those arising from differences: a) in the distribution of characteristics and b) in the influence of given characteristics. We find that US households are generally more likely to own these assets than their European counterparts. However, European asset owners tend to hold smaller real, PPP-adjusted amounts in stocks and larger in private businesses and primary residence than US owners at comparable points in the distribution of holdings, even controlling for differences in configuration of characteristics. Differences in characteristics often play minimal or no role. Differences in market conditions are much more pronounced among European countries than among US regions, suggesting significant potential for further integration
Portfolio inertia and stock market fluctuations
Full text linkSeveral recent studies have addressed household participation in the stock market, but relatively few have focused on household stock trading behavior. Household trading is important for the stock market, as households own more than 40% of the NYSE capitalization directly and can also influence trading patterns of institutional investors by adjusting their indirect stock holdings. Existing studies based on administrative data offer conflicting results. Discount brokerage data show excessive trading to the detriment of stockholders, while data on retirement accounts indicate extreme inactivity. This paper uses data representative of the population to document the extent of household portfolio inertia and to link it to household characteristics and to stock market movements. We document considerable portfolio inertia, as regards both changing stockholding participation status and trading stocks, and find that specific household characteristics contribute to the tendency to exhibit such inertia. Although our findings suggest some dependence of trading directly-held equity through brokerage accounts on the performance of the stock market index, they do not indicate that the recent expansion in the stockholder base and the experience of the stock market downswing have significantly altered the overall propensity of households to trade in stocks or to switch participation status in a way that could contribute to stock market instability. JEL Classification: G110, E21
Stockholding: From Participation to Location and to Participation Spillovers
Full text linkThis paper provides a joint analysis of household stockholding participation, stock location among stockholding modes, and participation spillovers, using data from the US Survey of Consumer Finances. Our multivariate choice model matches observed participation rates, conditional and unconditional, and asset location patterns. Financial education and sophistication strongly affect direct stockholding and mutual fund participation, while social interactions affect stockholding through retirement accounts only. Household characteristics influence stockholding through retirement accounts conditional on owning retirement accounts, unlike what happens with stockholding through mutual funds. Although stockholding is more common among retirement account owners, this fact is mainly due to their characteristics that led them to buy retirement accounts in the first place rather than to any informational advantages gained through retirement account ownership itself. Finally, our results suggest that, taking stockholding as given, stock location is not arbitrary but crucially depends on investor characteristics.Stockholding, Asset Location, Retirement Accounts, Household Finance, Multivariate Probit, Simulated Maximum Likelihood.
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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