316 research outputs found

    The lived experience of self-identifying character strengths through coaching: An interpretative phenomenological analysis

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    The study aimed to expand the understanding of the experience of people who self-identify their character strengths. The data came from semi-structured interviews held after a coaching intervention using strengths cards. Analysis using Interpretative Phenomenological Analysis (IPA) revealed four themes: Identifying strengths is instinctive, yet complex; experiencing the subjective self; identifying strengths is multi-faceted; and strengths are brought into awareness. The findings suggest that the lived experience of self-identifying strengths is complex and positive. This study may provide coaches and positive psychology practitioners insights about how strengths identification tools and interventions are experienced subjectively

    Predictability of Returns and Cash Flows

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    We review the literature on return and cash flow growth predictability form the perspective of the present-value identity. We focus predominantly on recent work. Our emphasis is on U.S. aggregate stock return predictability, but we also discuss evidence from other asset classes and countries

    Mortgage Timing

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    We study how the term structure of interest rates relates to mortgage choice, both at the household and the aggregate level. A simple utility framework of mortgage choice points to the long-term bond risk premium as theoretical determinant: when the bond risk premium is high, fixed-rate mortgage payments are high, making adjustable-rate mortgages more attractive. This long-term bond risk premium is markedly different from other term structure variables that have been proposed, including the yield spread and the long yield. We confirm empirically that the bulk of the time variation in both aggregate and loan-level mortgage choice can be explained by time variation in the bond risk premium. This is true whether bond risk premia are measured using forecasters' data, a VAR term structure model, or from a simple household decision rule based on adaptive expectations. This simple rule moves in lock-step with mortgage choice, lending credibility to a theory of strategic mortgage timing by households

    Health and Mortality Delta: Assessing the Welfare Cost of Household Insurance Choice

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    We develop a pair of risk measures for the universe of health and longevity products that includes life insurance, annuities, and supplementary health insurance. Health delta measures the differential payoff that a policy delivers in poor health, while mortality delta measures the differential payoff that a policy delivers at death. Optimal portfolio choice simplifies to the problem of choosing a combination of health and longevity products that replicates the optimal exposure to health and mortality delta. For each household in the Health and Retirement Study, we calculate the health and mortality delta implied by its ownership of life insurance, annuities including private pensions, supplementary health insurance, and long-term care insurance. For the median household aged 51 to 58, the lifetime welfare cost of market incompleteness and suboptimal portfolio choice is 28 percent of total wealth

    The Cross-Section and Time-Series of Stock and Bond Returns

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    We propose a three-factor model that jointly prices the cross-section of returns on portfolios of stocks sorted on the book-to-market dimension, the cross-section of government bonds sorted by maturity, and time series variation in expected bond returns. The main insight is that innovations to the nominal bond risk premium price the book-to-market sorted stock portfolios. We argue that these innovations capture business cycle risk and show that dividends of the highest book-to-market portfolio fall substantially more than those of the low book-to-market portfolio during NBER recessions. We propose a structural model that ties together the nominal bond risk premium, the cross-section of book-to-market sorted stock portfolios, and recessions. This model is quantitatively consistent with the observed value, equity, and nominal bond risk premia

    Long Run Risk, the Wealth-Consumption Ratio, and the Temporal Pricing of Risk

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    Representative agent consumption based asset pricing models have made great strides in accounting for many important features of asset returns. The long run risk (LRR) models of Ravi Bansal and Amir Yaron (2004) are a prime example of this progress. Yet, several other representative agent models, such as the external habit model of John Y. Campbell and John H. Cochrane (1999) and the variable rare disasters model of Xavier Gabaix (2008), seem to be able to match a similar set of asset pricing moments. Additional moments would be useful to help distinguish between these models. Hanno Lustig, Stijn Van Nieuwerburgh, and Adrien Verdelhan (2009) argue that the wealth-consumption ratio is such a moment. A comparison of the wealthconsumption ratio in the LRR model and in the data is favorable to the LRR model. This is no small feat because the wealth-consumption ratio is not a target in the usual calibrations of the model, and the LRR is—so far—the sole model able to reproduce both the equity premium and the wealth-consumption ratio. The LRR model matches the properties of the wealth-consumption ratio despite the fact that it implies a negative real bond risk premium. This is because it generates quite a bit of consumption cash flow risk to offset the negative discount rate risk

    Multiplex STR amplification sensitivity in a silicon microchip

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    The demand for solutions to perform forensic DNA profiling outside of centralized laboratories is increasing. We here demonstrate highly sensitive STR amplification using a silicon micro-PCR (mu PCR) chip. Exploiting industry-standard semiconductor manufacturing processes, a device was fabricated that features a small form factor thanks to an integrated heating element covering three parallel micro-reactors with a reaction volume of 0.5 mu l each. Diluted reference DNA samples (1 ng-31 pg) were amplified on the mu PCR chip using the forensically validated AmpFISTR Identifier Plus kit, followed by conventional capillary electrophoresis. Complete STR profiles were generated with input DNA quantities down to 62 pg. Occasional allelic dropouts were observed from 31 pg downward. On-chip STR profiles were compared with those of identical samples amplified using a conventional thermal cycler for direct comparison of amplification sensitivity in a forensic setting. The observed sensitivity was in line with kit specifications for both mu PCR and conventional PCR. Finally, a rapid amplification protocol was developed. Complete STR profiles could be generated in less than 17 minutes from as little as 125 pg template DNA. Together, our results are an important step towards the development of commercial, mass-produced, relatively cheap, handheld devices for on-site testing in forensic DNA analysis

    Predictability of Returns and Cash Flows

    Get PDF
    We review the literature on return and cash flow growth predictability form the perspective of the present-value identity. We focus predominantly on recent work. Our emphasis is on U.S. aggregate stock return predictability, but we also discuss evidence from other asset classes and countries

    Mortgage Timing

    Get PDF
    We study how the term structure of interest rates relates to mortgage choice, both at the household and the aggregate level. A simple utility framework of mortgage choice points to the long-term bond risk premium as theoretical determinant: when the bond risk premium is high, fixed-rate mortgage payments are high, making adjustable-rate mortgages more attractive. This long-term bond risk premium is markedly different from other term structure variables that have been proposed, including the yield spread and the long yield. We confirm empirically that the bulk of the time variation in both aggregate and loan-level mortgage choice can be explained by time variation in the bond risk premium. This is true whether bond risk premia are measured using forecasters' data, a VAR term structure model, or from a simple household decision rule based on adaptive expectations. This simple rule moves in lock-step with mortgage choice, lending credibility to a theory of strategic mortgage timing by households
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