Author: Hagen Wittig

Publisher:

Published: 2015

Total Pages: 0

ISBN-13:

This dissertation comprises three articles which are covering various aspects in the area of dynamic asset allocation, i.e., how to control an investor's portfolio composition over time in light of changing market conditions and various asset classes with differing return and risk profiles. In the first article, we propose the advancement of the traditional value-based rebalancing framework by setting the bandwidth weights in a non-static manner depending on current market characteristics, namely the relative price and volatility levels. The empirical analysis reveals significant excess returns in comparison to a buy and hold strategy, an idealized SAA strategy, as well as a rebalancing strategy with static bandwidths but otherwise comparable characteristics. The proposed approach also proves to be robust in various subsamples. In the second and third article, we break new ground by explicitly incorporating the risk dimension in the dynamic asset allocation process. In the second article, we present a rebalancing approach which applies the various asset classes' risk contributions to control the rebalancing process during the investment period. In strong contrast to traditional value-based rebalancing strategies, the resulting risk contribution strategies are capable of triggering rebalancing procedures based on deviations in an asset class's stand-alone volatility or correlation to the portfolio's remaining asset classes. Thus, this method lets investors closely maintain the asset classes' initial risk contributions. In the third article, we develop another approach which applies the loadings of the investor's portfolio on various key risk factors as indicators for triggering the rebalancing process. We implement the approach by monitoring the loadings on the risk factors interest rate, term spread, credit risk, equity premium, and volatility. We further define bandwidths for every risk factor loading. Once the effective loading.