Market anomalies and tactical asset allocation: Utilising market anomalies in multiple asset class portfolios with the Black−Litterman model

This thesis discusses the basic problem of the modern portfolio theory about how to optimise the perfect allocation for an investment portfolio. The theory provides a solution for an efficient portfolio, which minimises the risk of the portfolio with respect to the expected return. A central feature for all the portfolios on the efficient frontier is that the investor needs to provide the expected return for each asset. Market anomalies are persistent patterns seen in the financial markets, which cannot be explained with the current asset pricing theory. The goal of this thesis is to study whether these anomalies can be observed among different asset classes. Finally, if persistent patterns are found, it is investigated whether the anomalies hold valuable information for determining the expected returns used in the portfolio optimization Market anomalies and investment strategies based on them are studied with a rolling estimation window, where the return for the following period is always based on historical information. This is also crucial when rebalancing the portfolio. The anomalies investigated within this thesis are value, momentum, reversal, and idiosyncratic volatility. The research data includes price series of country level stock indices, government bonds, currencies, and commodities. The modern portfolio theory and the views given by the anomalies are combined by utilising the Black-Litterman model. This makes it possible to optimise the portfolio so that investor’s views are taken into account. When constructing the portfolios, the goal is to maximise the Sharpe ratio. Significance of the results is studied by assessing if the strategy yields excess returns in a relation to those explained by the threefactormodel. The most outstanding finding is that anomaly based factors include valuable information to enhance efficient portfolio diversification. When the highest Sharpe ratios for each asset class are picked from the test factors and applied to the Black−Litterman model, the final portfolio results in superior riskreturn combination. The highest Sharpe ratios are provided by momentum strategy for stocks and long-term reversal for the rest of the asset classes. Additionally, a strategy based on the value effect was highly appealing, and it basically performs as well as the previously mentioned Sharpe strategy. When studying the anomalies, it is found, that 12-month momentum is the strongest effect, especially for stock indices. In addition, a high idiosyncratic volatility seems to be positively correlated with country indices on stocks.

PERFORMANCE ANALYSIS OF A TACTICAL ASSET ALLOCATION – Evidence from the Black–Litterman model based fixed income portfolio

Over time the demand for quantitative portfolio management has increased among financial institutions but there is still a lack of practical tools. In 2008 EDHEC Risk and Asset Management Research Centre conducted a survey of European investment practices. It revealed that the majority of asset or fund management companies, pension funds and institutional investors do not use more sophisticated models to compensate the flaws of the Markowitz mean-variance portfolio optimization. Furthermore, tactical asset allocation managers employ a variety of methods to estimate return and risk of assets, but also need sophisticated portfolio management models to outperform their benchmarks. Recent development in portfolio management suggests that new innovations are slowly gaining ground, but still need to be studied carefully. This thesis tries to provide a practical tactical asset allocation (TAA) application to the Black–Litterman (B–L) approach and unbiased evaluation of B–L models’ qualities. Mean-variance framework, issues related to asset allocation decisions and return forecasting are examined carefully to uncover issues effecting active portfolio management. European fixed income data is employed in an empirical study that tries to reveal whether a B–L model based TAA portfolio is able outperform its strategic benchmark. The tactical asset allocation utilizes Vector Autoregressive (VAR) model to create return forecasts from lagged values of asset classes as well as economic variables. Sample data (31.12.1999–31.12.2012) is divided into two. In-sample data is used for calibrating a strategic portfolio and the out-of-sample period is for testing the tactical portfolio against the strategic benchmark. Results show that B–L model based tactical asset allocation outperforms the benchmark portfolio in terms of risk-adjusted return and mean excess return. The VAR-model is able to pick up the change in investor sentiment and the B–L model adjusts portfolio weights in a controlled manner. TAA portfolio shows promise especially in moderately shifting allocation to more risky assets while market is turning bullish, but without overweighting investments with high beta. Based on findings in thesis, Black–Litterman model offers a good platform for active asset managers to quantify their views on investments and implement their strategies. B–L model shows potential and offers interesting research avenues. However, success of tactical asset allocation is still highly dependent on the quality of input estimates.

Srategisen suunnittelun piirteitä yrityksen talousjohtamisessa: tapaustutkimus budjetoinnista

Tutkimuksen tavoitteena on ensiksi teoreettisesti tuoda esille miten budjetointia käytetään yrityksen strategisessa johtamisessa, ja sitten testata miten case-yritys soveltaa budjetointia strategiatyöskentelyssä. Case-tutkimuksen tulokset viittaavat vahvasti siihen, että budjettiensoveltamisroolit ovat samanlaisia kuin oli kuvattu teoriaosuudessa. Siksi suunnittelu-, toteuttamis- sekä valvontaroolit löytyivät case-yhtiöstä. Bonuksiin liittyvää budjettiharhaa ei voitu objektiivisesti löytää case-yhtiöstä. Kuitenkin kävi ilmi, että yhtiössä oli budjettiharhaa liittyen investointien tuottoarvioiden systemaattiseen minimointiin. Simonsin teoreettinen yrityksen johtamisen suorituskyvyn analysoinnin malli on käytössä case-yhtiössä koska yhtiö tekee pitkän aikavälin strategisen investointibudjetin. Investointiehdotuksia arvioidaan pääomantuottoasteen, markkinaosuuskehittymisen sekä nykyarvomenetelmän avulla. Case-tutkimus toi esille, että yksikönjohtajat haluavat enemmän päätösvaltaa ja riskinottoa, erityisesti investointibudjettia tehtäessä.

Yliopistosäätiöiden taloudellinen analyysi ja sijoitustoiminta

Yliopistotukisäätiöt omaavat kohtalaisen paljon sijoitettavaa omaisuutta. Tässä tutkielmassa tutkitaan sitä, millainen tukisäätiöiden taloudellinen asema on ollut, ja millaista sijoitustoimintaa ja allokointia säätiöistä voidaan löytää. Tutkielman kohteena on kahdeksan suomalaista yliopistotukisäätiötä. Tutkimusaineisto koostuu säätiöiden tilinpäätösaineistosta vuosilta 2001-2005. Lisäksi tutkimusta varten on haastateltu mukana olleiden säätiöiden edustajia sekä kahta varainhoitajaa. Tutkielmassa käytetään kvantitatiivisia ja kvalitatiivisia tutkimusmenetelmiä. Tutkimuksessa tutustuttiin säätiöiden sijoitustoimintaan tutkimalla säätiöiden sijoitus- ja toimintastrategioita, varainhoidon järjestämistä, varojen allokaatiota sekä tulevaisuudennäkymiä. Tutkimustulosten perusteella voidaan havaita esimerkiksi, että säätiöiden sijoitustoimintaa kuvaa turvallisen ja varman tuoton turvaavan sijoittamisen vaatimus sekä mahdollisimman pitkä sijoitushorisontti. Säätiöiden väliltä löytyi kuitenkin myös jonkin verran eroja sijoitustoiminnassa.

Mutual Fund Performance Evaluation

A narrow review on mutual fund performance evaluation methods.

Interdependence of Emerging Eastern European stock markets

One of the main developments in the global economy during the past decades has been the growth of emerging economies. Projections for their long-term growth, changes in the investment climate, corporate transparency and demography point to an increasing role for these emerging economies in the global economy. Today, emerging economies are usually considered as financial markets offering opportunities for high returns, good risk diversification and improved return-to-risk ratios. However, researchers have noted that these advantages may be in decline because of the increasing market integration. Nevertheless, it is likely that certain financial markets and specific sectors will remain partially segmented and somewhat insulated from the global economy for the year to come. This doctoral dissertation investigates several stock markets in Emerging Eastern Europe (EEE), including the ones in Russia, Poland, Hungary, the Czech Republic, Bulgaria and Slovenia. The objective is to analyze the returns and financial risks in these emerging markets from international investor’s point of view. This study also examines the segmentation/integration of these financial markets and the possibilities to diversify and hedge financial risk. The dissertation is divided into two parts. The first includes a review of the theoretical background for the articles and a review of the literature on EEE stock markets. It includes an overview of the methodology and research design applied in the analysis and a summary of articles from the second part of this dissertation and their main findings. The second part consists of four research publications. This work contributes to studies on emerging stock markets in four ways. First, it adds to the body of research on the pricing of risk, providing new empirical evidence about partial stock market segmentation in EEE. The results suggest that the aggregate emerging market risk is a relevant driver for stock market returns and that this market risk can be used to price financial instruments and forecast their performance. Second, it contributes to the empirical research on the integration of stock markets, asset prices and exchange rates by identifying the relationships between these markets through volatility and asset pricing. The results show that certain sectors of stock markets in EEE are not as integrated as others. For example, the Polish consumer goods sector, the Hungarian telecommunications sector, and the Czech financial sector are somewhat isolated from their counterparts elsewhere in Europe. Nevertheless, an analysis of the impact of EU accession in 2004 on stock markets suggests that most of the EEE markets are becoming increasingly integrated with the global markets. Third, this thesis complements the scientific literature in the field of shock and volatility spillovers by examining the mechanism of spillover distribution among the EU and EEE countries. The results illustrate that spillovers in emerging markets are mostly from a foreign exchange to the stock markets. Moreover, the results show that the effects of external shocks on stock markets have increased after the enlargement of the EU in 2004. Finally, this study is unique because it analyzes the effects of foreign macroeconomic news on geographically closely related countries. The results suggest that the effects of macroeconomic announcements on volatility are significant and have effect that varies across markets and their sectors. Moreover, the results show that the foreign macroeconomic news releases, somewhat surprisingly, have a greater effect on the EEE markets than the local macroeconomic news. This dissertation has a number of implications for the industry and for practitioners. It analyses financial risk associated with investing in Emerging Eastern Europe. Investors may use this information to construct and optimize investment portfolios. Moreover, this dissertation provides insights for investors and portfolio managers considering asset allocation to protect value or obtain higher returns. The results have also implications for asset pricing and portfolio selection in light of macroeconomic news releases.

Patterns of dry matter partitioning and 14C-photosynthate allocation in 1.5-year-old Scots pine seedlings

Summary

Nutrient allocation, accumulation and above-ground biomass in grey alder and hybrid alder plantations

Abstract

Effects of group size and space allocation on physiological, behavioural and production-related welfare parameters in farmed silver fox cubs

Selostus: Ryhmäkoon ja käytössä olevan tilan vaikutus tarhattujen hopeakettupentujen hyvinvointiin

Allocation of above-ground growth in Pinus sylvestris - impacts of tree size and competition

Abstract

Allocation of added selenium in lettuce and its impact on roots

Selostus: Seleenin jakautuminen salaatin versoihin ja vaikutus juuriin

Vaihto-omaisuuden arvostamismallin kehittäminen

Tämän diplomityön tavoitteena oli rakentaa uusi vaihto-omaisuuden arvostamismalli kohdeyritykseen. Vanha arvostamismallioli todettu epätarkaksi ja vaikeasti päivitettäväksi. Uuden mallin oli tarkoitus olla tarkempi ja helpommin päivitettävissä, mutta kumminkin käyttäjäystävällinen. Toisena tavoitteena oli kuvata tuotantoprosessi, jossa kustannukset sitoutuvat tuotteisiin. Työn voi jakaa kolmeen vaiheeseen. Ensin esiteltävä teoria-aineisto pohjautuu pääasiassa vaihto-omaisuuden arvostamisen teoriaan sekä kustannuslaskennan teoriaan. Toisessa vaiheessa kuvataan yrityksen tämänhetkinentuotantoprosessi sekä sen tavoitetila. Viimeisenä vaiheena on arvostamismallin kehittäminen, jossa käydään yksityiskohtaisesti läpi uuden mallin rakenne, logiikka ja sen antamat tulokset. Työn keskeisimpänä lopputuloksena oli taulukkolaskentapohjaisena toteutettu arvostamismalli, mikä huomio erilaiset kustannusrakenteet sekä laskee jälkihinnoittelussa tarvittavan painotetun keskihinnan.Toisena lopputuloksena saatiin tuotannon prosessikuvaukset. Jatkokehitystarpeita kustannuslaskennan osalta ilmeni työn myötä, joihin tullaan myös jatkossa puuttumaan.