Stochastic and Mathematical Structures from and for Financial Economics
金融经济学中的随机和数学结构
基本信息
- 批准号:RGPIN-2014-04987
- 负责人:
- 金额:$ 0.8万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2016
- 资助国家:加拿大
- 起止时间:2016-01-01 至 2017-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
My research proposal consists of four projects with equal merit with regard to significance. For these projects, my main goal lies in building new stochastic notions/concepts/tools and developing the stochastic/mathematical structures induced by the economical and financial phenomena/assumptions/behaviors.
The first topic addresses the horizon-dependence in optimal portfolio and/or optimal consumption. It was known, since the thirties of the last century, that the length of the horizon has a tremendous impact on investment and consumption due to many human and social reasons. In his book on general risk income, Irving Fisher wrote: "The sailor or the soldier who looks forward to a short existence will be less likely to make permanent investments.... Only a low price, that is, a high rate of interest, will induce him to invest for long ahead". In this project, I propose to continue my work on this issue in order to single out as explicitly as possible how the horizon's length affects the optimal portfolio choice and the optimal consumption. This will allow us to better address/face other horizon-related risks such as default, death and credit risk.
My second project focuses on informational markets and their regulations. In real world, the US government forbids insider trading, while the economic literature suggests regulating the asymmetric information through taxes and fees. In this project, I propose to investigate the interplay between the information and the market's efficiency when the transaction costs are in-force. This will enhance our understanding of these markets in order to design adequate transaction costs/taxes regimes that will restore the efficiency in markets with asymmetric information. These projected results will be supported by solid stochastic and mathematical arguments, and will strengthen the existing economical ideas about the informational markets in the areas of political economy, public economy and decision making.
The third main project deals with habit formation utilities, where I will focus on understanding the effect of the social behaviors (such as habit, addiction, greed, fear,..., etcetera) on the consumer. I am planning to develop innovative stochastic tools that will quantify the effect of these social/human behaviors.
The fourth project is concerned with behavioral finance/economics. The Expected Utility Theory (EUT), which is based on the von Neumann and Morgenstern axioms, fails to explain human emotions/psychology and many paradoxes and puzzles (such as the Allais paradox, the Ellesberg paradox and the equity premium puzzle). Thus, many economists proposed alternatives to the EUT which (are supported by empirical studies and) include Prospect Theory, Security Potential/Aspiration Theory and Dual Theory of Choice. Due to the lack of global concavity in the utility function (which takes the S shape in some context for instance), all the mathematical approaches designed for the EUT fail in these behavioral frameworks. My projected contribution in this theme lies in producing new stochastic concepts and/or reliable mathematical methods for explaining these behavioral models and their impacts as well.
我的研究计划由四个具有同等重要性的项目组成。对于这些项目,我的主要目标在于建立新的随机概念/概念/工具,并开发由经济和金融现象/假设/行为引起的随机/数学结构。
第一个主题讨论最优投资组合和/或最优消费的时间依赖性。自上世纪三十年代以来,人们就知道,由于多种人类和社会原因,视界的长短对投资和消费有着巨大的影响。欧文·费舍尔在他关于一般风险收入的书中写道:“期待短暂存在的水手或士兵不太可能进行永久性投资……只有低价格,即高利率,才能诱使他进行长期投资”。在这个项目中,我建议继续研究这个问题,以便尽可能明确地指出时间范围的长度如何影响最优投资组合选择和最优消费。这将使我们能够更好地解决/面对其他与期限相关的风险,例如违约、死亡和信用风险。
我的第二个项目侧重于信息市场及其监管。在现实世界中,美国政府禁止内幕交易,而经济文献则建议通过税收和费用来规范信息不对称。在这个项目中,我建议研究交易成本有效时信息与市场效率之间的相互作用。这将增强我们对这些市场的了解,以便设计适当的交易成本/税收制度,从而恢复信息不对称市场的效率。这些预测结果将得到可靠的随机和数学论证的支持,并将加强政治经济学、公共经济和决策领域关于信息市场的现有经济学思想。
第三个主要项目涉及习惯形成效用,我将重点了解社会行为(例如习惯、成瘾、贪婪、恐惧等)对消费者的影响。我计划开发创新的随机工具来量化这些社会/人类行为的影响。
第四个项目涉及行为金融/经济学。基于冯·诺依曼和摩根斯坦公理的预期效用理论(EUT)无法解释人类的情感/心理以及许多悖论和谜题(例如阿莱悖论、埃尔斯伯格悖论和股权溢价谜题)。因此,许多经济学家提出了 EUT 的替代方案(得到实证研究的支持),包括前景理论、安全潜力/愿望理论和二元选择理论。由于效用函数缺乏全局凹性(例如在某些情况下呈 S 形),所有为 EUT 设计的数学方法在这些行为框架中都失败了。我对这个主题的预计贡献在于产生新的随机概念和/或可靠的数学方法来解释这些行为模型及其影响。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('Choulli, Tahir', 18)}}的其他基金
Informational markets: Risk modelling, risk management and portfolio analysis
信息市场:风险建模、风险管理和投资组合分析
- 批准号:
RGPIN-2019-04779 - 财政年份:2022
- 资助金额:
$ 0.8万 - 项目类别:
Discovery Grants Program - Individual
Informational markets: Risk modelling, risk management and portfolio analysis
信息市场:风险建模、风险管理和投资组合分析
- 批准号:
RGPIN-2019-04779 - 财政年份:2021
- 资助金额:
$ 0.8万 - 项目类别:
Discovery Grants Program - Individual
Informational markets: Risk modelling, risk management and portfolio analysis
信息市场:风险建模、风险管理和投资组合分析
- 批准号:
RGPIN-2019-04779 - 财政年份:2020
- 资助金额:
$ 0.8万 - 项目类别:
Discovery Grants Program - Individual
Informational markets: Risk modelling, risk management and portfolio analysis
信息市场:风险建模、风险管理和投资组合分析
- 批准号:
RGPIN-2019-04779 - 财政年份:2019
- 资助金额:
$ 0.8万 - 项目类别:
Discovery Grants Program - Individual
Stochastic and Mathematical Structures from and for Financial Economics
金融经济学中的随机和数学结构
- 批准号:
RGPIN-2014-04987 - 财政年份:2018
- 资助金额:
$ 0.8万 - 项目类别:
Discovery Grants Program - Individual
Stochastic and Mathematical Structures from and for Financial Economics
金融经济学中的随机和数学结构
- 批准号:
RGPIN-2014-04987 - 财政年份:2017
- 资助金额:
$ 0.8万 - 项目类别:
Discovery Grants Program - Individual
Stochastic and Mathematical Structures from and for Financial Economics
金融经济学中的随机和数学结构
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RGPIN-2014-04987 - 财政年份:2015
- 资助金额:
$ 0.8万 - 项目类别:
Discovery Grants Program - Individual
Stochastic and Mathematical Structures from and for Financial Economics
金融经济学中的随机和数学结构
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RGPIN-2014-04987 - 财政年份:2014
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Stochastic tools for financial economics
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249736-2009 - 财政年份:2013
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$ 0.8万 - 项目类别:
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- 批准号:
249736-2009 - 财政年份:2012
- 资助金额:
$ 0.8万 - 项目类别:
Discovery Grants Program - Individual
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