Browsing by Subject "Financial data processing"

Now showing 1 - 4 of 4

Open Access
Delegated portfolio management under ambiguity aversion
(2014) Fabretti, A.; Herzel, S.; Pınar, M. Ç.
We examine the problem of setting optimal incentives for a portfolio manager hired by an investor who wants to induce ambiguity-robust portfolio choices with respect to estimation errors in expected returns. Adopting a worst-case max-min approach we obtain the optimal compensation in various cases where the investor and the manager, adopt or relinquish an ambiguity averse attitude. We also provide examples of applications to real market data.
Open Access
Growth optimal investment with threshold rebalancing portfolios under transaction costs
(IEEE, 2013) Tunc, S.; Donmez, M.A.; Kozat, Süleyman S.
We study how to invest optimally in a stock market having a finite number of assets from a signal processing perspective. In particular, we introduce a portfolio selection algorithm that maximizes the expected cumulative wealth in i.i.d. two-asset discrete-time markets where the market levies proportional transaction costs in buying and selling stocks. This is achieved by using 'threshold rebalanced portfolios', where trading occurs only if the portfolio breaches certain thresholds. Under the assumption that the relative price sequences have log-normal distribution from the Black-Scholes model, we evaluate the expected wealth under proportional transaction costs and find the threshold rebalanced portfolio that achieves the maximal expected cumulative wealth over any investment period. © 2013 IEEE.
Open Access
Optimal investment under transaction costs: A threshold rebalanced portfolio approach
(IEEE, 2013) Tunc, S.; Donmez, M. A.; Kozat, S. S.
We study how to invest optimally in a financial market having a finite number of assets from a signal processing perspective. Specifically, we investigate how an investor should distribute capital over these assets and when he/she should reallocate the distribution of the funds over these assets to maximize the expected cumulative wealth over any investment period. In particular, we introduce a portfolio selection algorithm that maximizes the expected cumulative wealth in i.i.d. two-asset discrete-time markets where the market levies proportional transaction costs in buying and selling stocks. We achieve this using 'threshold rebalanced portfolios', where trading occurs only if the portfolio breaches certain thresholds. Under the assumption that the relative price sequences have log-normal distribution from the Black-Scholes model, we evaluate the expected wealth under proportional transaction costs and find the threshold rebalanced portfolio that achieves the maximal expected cumulative wealth over any investment period. Our derivations can be readily extended to markets having more than two stocks, where these extensions are provided in the paper. As predicted from our derivations, we significantly improve the achieved wealth with respect to the portfolio selection algorithms from the literature on historical data sets under both mild and heavy transaction costs.
Open Access
Optimal univariate expectations under high and persistent inflation: new evidence from Turkey
(Elsevier BV, 2005) Us, V.; Ozcan, K. M.
The poor performance of sticky-price models with rational expectations in explaining the inflationary inertia in the US economy constitutes the basis for sticky-price models of near-rational expectations in the recent literature. However, previous studies on inflationary inertia in Turkey not only lack a model of nominal stickiness but also do not try to explain inflation persistence by expectations. Even though, there exists evidence for persistent inflation in Turkey as confirmed by earlier studies, and other studies provide evidence that expectations are neither perfectly rational nor purely adaptive, there is no attempt to link this near-rational behavior to inflationary inertia. Given this gap, this paper, therefore, tests empirically a sticky-price model under the assumption of near-rational expectations on two different inflation episodes in the Turkish economy. The near-rational expectations as described by optimal univariate expectations where agents use information on past inflation optimally while data on other variables are ignored, not only fit the data for both periods but also are not subject to Lucas critique. Alternatively, near-rational expectations are assumed to be backward looking. This alternative scenario shows that optimal univariate expectations perform even better during relatively higher inflation periods. © 2004 Elsevier B.V. All rights reserved.