Portfolio selection strategy for fixed income markets with immunization on average
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A86098327" target="_blank" >RIV/61989100:27510/18:86098327 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1007/s10479-016-2182-8" target="_blank" >http://dx.doi.org/10.1007/s10479-016-2182-8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10479-016-2182-8" target="_blank" >10.1007/s10479-016-2182-8</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Portfolio selection strategy for fixed income markets with immunization on average
Popis výsledku v původním jazyce
In this paper, we develop a portfolio optimization method to maximize the performance of a fixed income portfolio. To achieve this aim, we define a two-step optimization problem where we firstly manage the immunization risk and then we maximize the portfolio wealth in a reward-risk framework. In the first optimization step, we create funds of bonds with constant immunization measure over time, and we propose an innovative immunization measure for bond portfolio management that leads to a more flexible immunization approach and a better trade-off between reward and risk. In the second optimization step, maximizing two performance measures on these baskets of bonds we obtain portfolio strategies that consider different investors' profiles. An empirical application to the US fixed income market during 2002-2012 period is provided. Applying the portfolio optimization method to different bond classes, we compare the results with an equity index. This ex-post analysis indicates the benefits of the proposed portfolio strategy in outperforming the benchmark and proves that capital flows to safer markets during crisis periods. (C) 2016 Springer Science+Business Media New York
Název v anglickém jazyce
Portfolio selection strategy for fixed income markets with immunization on average
Popis výsledku anglicky
In this paper, we develop a portfolio optimization method to maximize the performance of a fixed income portfolio. To achieve this aim, we define a two-step optimization problem where we firstly manage the immunization risk and then we maximize the portfolio wealth in a reward-risk framework. In the first optimization step, we create funds of bonds with constant immunization measure over time, and we propose an innovative immunization measure for bond portfolio management that leads to a more flexible immunization approach and a better trade-off between reward and risk. In the second optimization step, maximizing two performance measures on these baskets of bonds we obtain portfolio strategies that consider different investors' profiles. An empirical application to the US fixed income market during 2002-2012 period is provided. Applying the portfolio optimization method to different bond classes, we compare the results with an equity index. This ex-post analysis indicates the benefits of the proposed portfolio strategy in outperforming the benchmark and proves that capital flows to safer markets during crisis periods. (C) 2016 Springer Science+Business Media New York
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50206 - Finance
Návaznosti výsledku
Projekt
<a href="/cs/project/GA15-23699S" target="_blank" >GA15-23699S: RPF a OT aplikovaná na mezinárodních finančních trzích a problému výběru portfolio</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Annals of Operations Research
ISSN
0254-5330
e-ISSN
—
Svazek periodika
260
Číslo periodika v rámci svazku
1-2
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
21
Strana od-do
395-415
Kód UT WoS článku
000419148700018
EID výsledku v databázi Scopus
2-s2.0-84976259438