Repository logo
  • English
  • Català
  • ÄŒeÅ¡tina
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • LatvieÅ¡u
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Log In
    New user? Click here to register. Have you forgotten your password?
Repository logo
    Communities & Collections
    All of DSpace
  • English
  • Català
  • ÄŒeÅ¡tina
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • LatvieÅ¡u
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Log In
    New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Mwigilwa, Winfrida"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    In this dissertation, the solution of portfolio optimization by maximizing expected utility of wealth function subjected to income tax and capital gains tax is found. In this investment problem, an investor has two assets namely risk free asset (e.g bond) and risky asset (e.g stocks). The evolution of the risk free asset is described deterministically while the dynamics of the risky asset is described by the geometric mean reversion (GMR) model which incorporate dividend and income tax. The portfolio optimization problem is then successfully formulated and solved with DPP and HJB equations. The results showed that the optimal investment strategy is dependent on wealth and income tax. The optimal investment strategy is not affected by capital gains tax, because capital gains tax come into effect at redemption and our investor holds his portfolio before redemption. In this dissertation, power, exponential and logarithmic utility functions are considered. It is found that, when power and logarithmic utility functions are used, an investor exhibits constant relative risk aversion but optimal investment strat- egy decreases as the wealth increases. In case of exponential utility function an investor exhibits increasing relative risk aversion and the optimal investment strategy decreases as the wealth increases. Finally, in all three cases of utility function, if the investor increases his proportion of wealth in the risky assets then income tax is also increases.
    (University of Dar es Salaam, 2013) Mwigilwa, Winfrida
    In this dissertation, the solution of portfolio optimization by maximizing expected utility of wealth function subjected to income tax and capital gains tax is found. In this investment problem, an investor has two assets namely risk free asset (e.g bond) and risky asset (e.g stocks). The evolution of the risk free asset is described deterministically while the dynamics of the risky asset is described by the geometric mean reversion (GMR) model which incorporate dividend and income tax. The portfolio optimization problem is then successfully formulated and solved with DPP and HJB equations. The results showed that the optimal investment strategy is dependent on wealth and income tax. The optimal investment strategy is not affected by capital gains tax, because capital gains tax come into effect at redemption and our investor holds his portfolio before redemption. In this dissertation, power, exponential and logarithmic utility functions are considered. It is found that, when power and logarithmic utility functions are used, an investor exhibits constant relative risk aversion but optimal investment strat- egy decreases as the wealth increases. In case of exponential utility function an investor exhibits increasing relative risk aversion and the optimal investment strategy decreases as the wealth increases. Finally, in all three cases of utility function, if the investor increases his proportion of wealth in the risky assets then income tax is also increases.

About Library

The University of Dar es Salaam Library is a vital source of scholarly information that facilitates users to get access to learning and research resources during their studies. It provides access to a wide range of resources in both print and digital formats and conducive reading environment for users, regardless of their physical conditions. All registered users are eligible to access library resources and can borrow print materials from general shelves for a specific period of time.

Useful Links

Koha Staff Login

University Research Repository

WebMail

Aris

Book Study Room

Mara Oral History

Hansard

SOCIAL MEDIA

Instagram

Facebook

Twitter

YouTube

WhatsApp

Ask Librarian

Contact Us

Postal Address
P.O.Box 35092
Dar es Salaam

Call Us: +255 22 2410500/9 Ext. 2165 ; Direct line +255 22 2410241

Fax No:: +255 22 2410241

Email:: directorlibrary@udsm.ac.tz

2025 University of Dar es Salaam - University Of Dar Es Salaam Library
Term of use / Privacy Policy