scholarly journals Relative arbitrage: Sharp time horizons and motion by curvature

2021 ◽  
Author(s):  
Martin Larsson ◽  
Johannes Ruf
Keyword(s):  
Time Horizons ◽  
Motion By Curvature ◽  
Relative Arbitrage

Before I Die

GeroPsych ◽  
2018 ◽  
Vol 31 (3) ◽  
pp. 151-162 ◽  
Author(s):  
Qiao Chu ◽  
Daniel Grühn ◽  
Ashley M. Holland
Keyword(s):  
End Of Life ◽  
Psychosocial Development ◽  
Time Horizon ◽  
Development Theory ◽  
Life Stages ◽  
Socioemotional Selectivity Theory ◽  
Socioemotional Selectivity ◽  
Time Horizons

Abstract. We investigated the effects of time horizon and age on the socioemotional motives underlying individual’s bucket-list goals. Participants were randomly assigned to one of three time-horizon conditions to make a bucket list: (1) an open-ended time horizon (Study 1 & 2), (2) a 6-month horizon (i.e., “Imagine you have 6 months to live”; Study 1 & 2), and (3) a 1-week horizon (Study 2). Goal motives were coded based on socioemotional selectivity theory and psychosocial development theory. Results indicated that time horizon and age produced unique effects on bucket-list goal motives. Extending past findings on people’s motives considering the end of life, the findings suggest that different time horizons and life stages trigger different motives.

Time Horizons in Interdependent Security

2009 ◽  
Author(s):  
David Hardisty ◽  
Howard Kunreuther ◽  
David Krantz ◽  
Poonam Arora
Keyword(s):  
Time Horizons ◽  
Interdependent Security

Scaling and Adaptive Asset Allocation

2019 ◽  
Keyword(s):  
Asset Allocation ◽  
Investment Decision ◽  
Investment Risk ◽  
Speculative Bubbles ◽  
Time Horizons ◽  
Investment Decision Making ◽  
Time Diversification ◽  
Mean And Variance ◽  
Time Specific ◽  
Mean Variance

In this article, the author reminds us again that return mean and variance are not enough. Appropriate investment risk-bearing scales with surplus over future withdrawal commitments, as well as with investment return characteristics. This framework provides for the integration of financial planning and investment decision-making. Its time-varying risk aversion with the ratio of investments to surplus also provides an opportunity for use of dynamic strategies, though speculative bubbles require compensating inputs to avoid excessive allocation extremes. Appropriate risk-bearing can also scale with functions of shortfall probability to deal with time-specific funding requirements. The probability of avoiding shortfall from an initial surplus over longer time horizons may scale close to the square root of time, creating an illusion of time diversification. In contrast, from an initial surplus deficit, minimizing shortfall probability is akin to playing Russian roulette. Allocations based on minimized shortfall probability can be usefully blended with mean–variance allocations, especially for 5- to 15-year time horizons.

The Asymmetry of Gain Loss Time Horizons on the JSE

2014 ◽  
Vol 38 (1) ◽  
pp. 65-74
Author(s):  
F Toerien ◽  
D Rosenberg ◽  
R Kruger
Keyword(s):  
Time Horizons ◽  
The Asymmetry ◽  
Gain Loss

scholarly journals Nonparametric Analysis of Time-Inconsistent Preferences

2021 ◽  
Author(s):  
Laura Blow ◽  
Martin Browning ◽  
Ian Crawford
Keyword(s):  
Sufficient Conditions ◽  
Revealed Preference ◽  
Hyperbolic Discounting ◽  
Time Preferences ◽  
Hyperbolic Model ◽  
Nonparametric Analysis ◽  
Time Horizons ◽  
Time Inconsistent ◽  
Using Data ◽  
Necessary And Sufficient

Abstract This paper provides a revealed preference characterisation of quasi-hyperbolic discounting which is designed to be applied to readily-available expenditure surveys. We describe necessary and sufficient conditions for the leading forms of the model and also study the consequences of the restrictions on preferences popularly used in empirical lifecycle consumption models. Using data from a household consumption panel dataset we explore the prevalence of time-inconsistent behaviour. The quasi-hyperbolic model provides a significantly more successful account of behaviour than the alternatives considered. We estimate the joint distribution of time preferences and the distribution of discount functions at various time horizons.

scholarly journals The decade after tomorrow: Estimation of discount rates from realistic temporal decisions over long time horizons

2021 ◽  
Vol 183 ◽  
pp. 158-174
Author(s):  
Patrick Lloyd-Smith ◽  
Wiktor Adamowicz ◽  
Alicia Entem ◽  
Eli P. Fenichel ◽  
Mani Rouhi Rad
Keyword(s):  
Discount Rates ◽  
Time Horizons ◽  
Long Time
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