Interdependence of International Stock Markets, European Government Bond Market and Gold Market

This thesis examines the interdependence of international stock markets (the USA, Europe, Japan, emerging markets, and frontier markets), European government bond market, and gold market during the 21st century. Special focus is on the dynamics of the correlations between the markets, as well as on, spillovers in mean returns and volatility. The mean return spillovers are examined on the basis of the bivariate VAR(1) model, whereas the bivariate BEKK-GARCH(1, 1) model is employed for the analysis of the volatility spillovers. In order to analyze the spillover effects in different market conditions, the full sample period from 2000 to 2013 is divided into the pre-crisis period (2000–2006) and the crisis period (2007–2013). The results indicate an increasing interdependence especially within international stock markets during the periods of financial turbulence, and are thus consistent with the existing literature. Hence, bond and gold markets provide the best diversification benefits for equity investors, particularly during the periods of market turmoil.

Optiohinnoittelumallien empiirinen vertailu OMX 25 Helsinki -warranttimarkkinoilla

Tämän tutkimuksen tarkoituksena on selvittää pystytäänkö OMX 25 Helsinki kohde-etuusindeksin warranttien hintoja ennustamaan käyttämällä erilaisia optiohinnoittelumalleja. Tutkielman aineisto koostuu OMXH25-indeksiä seuraavien warranttien hinta-aikasarjatiedoista vuosilta 2009-2011. Tutkimuksessa käytettiin kolmea eri hinnoittelumallia warranttien hinnoitteluvirheiden tutkimiseen. Perinteistä Black-Scholes-hinnoittelumallia käytettiin siten, että warranttiaineistosta joh-dettu implisiittinen volatiliteetti regressoitiin maturiteetin ja toteutushinnan mu-kaan, jonka jälkeen regression perusteella valittiin kulloiseenkin tilanteeseen sopiva volatiliteettiestimaatti. Black-Scholes-mallin lisäksi tutkimuksessa käy-tettiin kahta GARCH-pohjaista optiohinnoittelumallia. Mallien estimoimia hin-toja verrattiin markkinoiden warranttihintoihin. Tulosten perusteella voitiin todeta, että mallit onnistuvat hinnoittelemaan war-rantteja paremmin lyhyen ajan päähän mallien kalibroinnista. Tulokset vaihte-livat suuresti eri vuosien välillä eikä minkään käytetyn mallin nähty suoriutu-van systemaattisesti muita malleja paremmin.

Time Varying Conditional Correlation Between Stock And Bond Returns: Evidence From CIVETS Nations

This thesis estimates long-run time variant conditional correlation between stock and bond returns of CIVETS (Colombia, Indonesia, Vietnam, Egypt, Turkey, and South Africa) nations. Further, aims to analyse the presence of asymmetric volatility effect in both asset returns, as well as, obverses increment or decrement in conditional correlation during pre-crisis and crisis period, which lead to make a reliable diversification decision. The Constant Conditional Correlation (CCC) GARCH model of Bollerslev (1990), the Dynamic Conditional Correlation (DCC) GARCH model (Engle 2002), and the Asymmetric Dynamic Conditional Correlation (ADCC) GARCH model of Cappiello, Engle, and Sheppard (2006) were implemented in the study. The analyses present strong evidence of time-varying conditional correlation in CIVETS markets, excluding Vietnam, during 2005-2013. In addition, negative innovation effects were found in both conditional variance and correlation of the asset returns. The results of this study recommend investors to include financial assets from these markets in portfolios, in order to obtain better stock-bond diversification benefits, especially during high volatility periods.

Regime-Switching in the Impact of Oil Price Shocks on Stock Market Volatility: Evidence from Oil-Importing and Oil-Exporting Countries

Research has highlighted the adequacy of Markov regime-switching model to address dynamic behavior in long term stock market movements. Employing a purposed Extended regime-switching GARCH(1,1) model, this thesis further investigates the regime dependent nonlinear relationship between changes in oil price and stock market volatility in Saudi Arabia, Norway and Singapore for the period of 2001-2014. Market selection is prioritized to national dependency on oil export or import, which also rationalizes the fitness of implied bivariate volatility model. Among two regimes identified by the mean model, high stock market return-low volatility regime reflects the stable economic growth periods. The other regime characterized by low stock market return-high volatility coincides with episodes of recession and downturn. Moreover, results of volatility model provide the evidence that shocks in stock markets are less persistent during the high volatility regime. While accelerated oil price rises the stock market volatility during recessions, it reduces the stock market risk during normal growth periods in Singapore. In contrast, oil price showed no significant notable impact on stock market volatility of target oil-exporting countries in either of the volatility regime. In light to these results, international investors and policy makers could benefit the risk management in relation to oil price fluctuation.

Russian and Eastern European Dynamic Conditional Correlations in light of the Russian crisis of 2014-2015

This thesis studies the impact of the latest Russian crisis on global markets, and especially Central and Eastern Europe. The results are compared to other shocks and crises over the last twenty years to see how significant they have been. The cointegration process of Central and Eastern European financial markets is also reviewed and updated. Using three separate conditional correlation GARCH models, the latest crisis is not found to have initiated similar surges in conditional correlations to previous crises over the last two decades. Market cointegration for Central and Eastern Europe is found to have stalled somewhat after initial correlation increases post EU accession.

The Forecast Performance of Model-Free Implied Volatility: Evidence from DAX Index Options

Volatility has a central role in various theoretical and practical applications in financial markets. These include the applications related to portfolio theory, derivatives pricing and financial risk management. Both theoretical and practical applications require good estimates and forecasts for the asset return volatility. The goal of this study is to examine the forecast performance of one of the more recent volatility measures, model-free implied volatility. Model-free implied volatility is extracted from the prices in the option markets, and it aims to provide an unbiased estimate for the market’s expectation on the future level of volatility. Since it is extracted from the option prices, model-free implied volatility should contain all the relevant information that the market participants have. Moreover, model-free implied volatility requires less restrictive assumptions than the commonly used Black-Scholes implied volatility, which means that it should be less biased estimate for the market’s expectations. Therefore, it should also be a better forecast for the future volatility. The forecast performance of model-free implied volatility is evaluated by comparing it to the forecast performance of Black-Scholes implied volatility and GARCH(1,1) forecast. Weekly forecasts for six years period were calculated for the forecasted variable, German stock market index DAX. The data consisted of price observations for DAX index options. The forecast performance was measured using econometric methods, which aimed to capture the biasedness, accuracy and the information content of the forecasts. The results of the study suggest that the forecast performance of model-free implied volatility is superior to forecast performance of GARCH(1,1) forecast. However, the results also suggest that the forecast performance of model-free implied volatility is not as good as the forecast performance of Black-Scholes implied volatility, which is against the hypotheses based on theory. The results of this study are consistent with the majority of prior research on the subject.

Interdependence of Macroeconomics Variables, Stock Market Returns and Stock Market Volatility in Latin America

This thesis examines the interdependence of macroeconomic variables, stock market returns and stock market volatility in Latin America between 2000 and 2015. Argentina, Brazil, Chile, Colombia, Mexico and Peru were chosen as the sample markets, while inflation, interest rate, exchange rate, money supply, oil and gold were chosen as the sample macroeconomic variables. Bivariate VAR (1) model was applied to examine the mean return spillovers between the variables, whereas GARCH (1, 1) – BEKK model was applied to capture the volatility spillovers. The sample was divided into two smaller sub-periods, where the first sub-period covers from 2000 to 2007, and the second sub-period covers from 2007 to 2015. The empirical results report significant shock transmissions and volatility spillovers between inflation, interest rate, exchange rate, money supply, gold, oil and the selected markets, which suggests interdependence between the variables.

Return and Volatility spillovers among stock and Foreign Exchange Markets: Empirical Evidence from selected African Markets

Return and volatility dynamics in financial markets across the world have recently become important for the purpose of asset pricing, portfolio allocation and risk management. However, volatility, which come about as a result of the actions of market participants can help adapt to different situations and perform when it really matters. With recent development and liberalization among financial markets in emerging and frontier markets, the need for how the equity and foreign exchange markets interact and the extent to which return and volatility spillover are spread across countries is of importance to investors and policy makers at large. Financial markets in Africa have received attention leading to investors diversifying into them in times of crisis and contagion effects in developed countries. Regardless of the benefits these markets may offer, investors must be wary of issues such as thin trading, volatility that exists in the equity and currency markets and its related fluctuations. The study employs a VAR-GARCH BEKK model to study the return and volatility dynamics between the stock and foreign exchange sectors and among the equity markets of Egypt, Kenya, Nigeria, South Africa and Tunisia. The main findings suggest a higher dependence of own return in the stock markets and a one way return spillover from the currencies to the equity markets except for South Africa which has a weaker interrelation among the two markets. There is a relatively limited integration among the equity markets. Return and volatility spillover is mostly uni-directional except for a bi-directional relationship between the equity markets of Egypt and Tunisia. The study implication still proves a benefit for portfolio managers diversifying in these African equity markets, since they are independent of each other and may not be highly affected by the influx of negative news from elsewhere. However, there is the need to be wary of return and volatility spillover between the equity and currency markets, hence devising better hedging strategies to curb them.

Variance reduction properties of dynamic hedging models - empirical evidence from BRICS countries

This Master’s Thesis analyses the effectiveness of different hedging models on BRICS (Brazil, Russia, India, China, and South Africa) countries. Hedging performance is examined by comparing two different dynamic hedging models to conventional OLS regression based model. The dynamic hedging models being employed are Constant Conditional Correlation (CCC) GARCH(1,1) and Dynamic Conditional Correlation (DCC) GARCH(1,1) with Student’s t-distribution. In order to capture the period of both Great Moderation and the latest financial crisis, the sample period extends from 2003 to 2014. To determine whether dynamic models outperform the conventional one, the reduction of portfolio variance for in-sample data with contemporaneous hedge ratios is first determined and then the holding period of the portfolios is extended to one and two days. In addition, the accuracy of hedge ratio forecasts is examined on the basis of out-of-sample variance reduction. The results are mixed and suggest that dynamic hedging models may not provide enough benefits to justify harder estimation and daily portfolio adjustment. In this sense, the results are consistent with the existing literature.

Liquidity Risk in the Finnish Stock Market

This study explores the pricing of liquidity risk and its effect on stock returns in the Finnish stock market. In addition to that, it investigates whether there is a trend in liquidity risk. Finally, it analyzes whether the two chosen liquidity measures provide different results. The data consists of all the common shares listed in the Finnish stock market during the period of 1/1997–7/2015. To examine whether liquidity risk affects stock returns in the Finnish stock market, this study utilizes a conditional version of liquidity-adjusted capital asset pricing model (LCAPM) by Acharya and Pedersen (2005). Two recently proposed illiquidity measures – PQS and AdjILLIQ – are used in the empirical estimation to see whether there are differences in the results between the measures. The time-varying conditional liquidity risks are estimated by using a multivariate DCC-GARCH model, while the pricing of the liquidity risk is conducted by applying fixed effect panel regression. The results imply that investors in the Finnish stock market are willing to pay a premium to hedge from wealth shocks and having liquid assets during the declined market liquidity. However, investors are not willing to pay a premium for stocks with higher returns during illiquid markets. The total annualized illiquidity premiums found in the Finnish stock market are 1.77% and 1.04%, based on the PQS and AdjILLIQ measures, respectively. The study also shows that liquidity risk does not exhibit decreasing trend, and investors should consider liquidity risk in their portfolio diversification in the Finnish stock market.

Suomen taloussuhdanteiden kansainvälinen yhteisvaihtelu

Taloussuhdanteiden yhteisvaihtelun tutkimus on eräs taloustieteiden vanhimmista tutkimusaloista. Finanssikriisi ja euroalueen kohtaamat talousvaikeudet ovat kuitenkin nostaneet aiheen jälleen hyvin ajankohtaiseksi. Kuluneiden kahdenkymmenen vuoden aikana tutkimusalueesta on muodostunut erittäin laaja lukuisine näkökulmineen ja debatteineen. Tutkielman aiheena on Suomen taloussuhdanteiden kansainvälinen yhteisvaihtelu valittujen vertailumaiden kanssa. Vertailumaat ovat Ruotsi, Norja, Tanska, Saksa, Ranska, Iso-Britannia ja Yhdysvallat. Tutkielmaan valitut taloussuhdannetta kuvaavat muuttujat ovat reaalinen bruttokansantuote, yksityinen kokonaiskulutus ja teollisuustuotantoindeksi. Aineisto on kerätty Lappeenrannan tiedekirjaston Nelli-portaalin OECD iLibrary-tietokannasta ja se kattaa aikajakson 1960 Q1- 2014 Q4. Maakohtainen taloussuhdanne operationalisoidaan laskemalla ensimmäinen logaritminen differenssi, joka edustaa perinteistä reaalisuhdanneteoreettisen koulukunnan näkemystä taloussuhdanteesta. Tutkielman näkökulmaksi valitaan yhden maan näkökulma, joka on hieman harvinaisempi näkökulma verrattuna laajempiin alueellisiin näkökulmiin. Tutkimusmenetelminä käytetään Pearsonin korrelaatiokerrointa, Engle-Granger- sekä Johansenin yhteisintegroituvuustestejä ja VAR-GARCH-BEKK –mallilla laskettua dynaamista korrelaatiota, jotka lasketaan Suomen ja vertailumaiden välille maapareittain. Tuloksia tulkitaan suomalaisen vientiä vertailumaihin suunnittelevan yrityksen näkökulmasta. Tutkielman tulosten perusteella Engle-Grangerin menetelmällä laskettu samanaikainen yhteisintegroituvuus Suomen ja vertailumaiden välillä on epätodennäköistä. Kun yhteisintegroituvuuden annetaan riippua myös viiveistä, saadaan Johansenin menetelmällä yhteisintegroituvuus Suomen ja Yhdysvaltojen välille reaalisessa bruttokansantuotteessa, Suomen ja Saksan, Suomen ja Ranskan sekä Suomen ja Yhdysvaltojen välille yksityisessä kokonaiskulutuksessa sekä Suomen ja Norjan välille teollisuustuotantoindeksissä. Tulosten tulkintaa vaikeuttavat niiden malliriippuvuus ja informaatiokriteerien toisistaan poikkeavat mallisuositukset, joten yhteisintegroituvuus on mahdollinen myös muiden maaparien kohdalla. Dynaamisten korrelaatiokuvaajien perusteella maaparien välisen yhteisvaihtelun voimakkuus muuttuu ajan mukana. Finanssikriisin aikana kokonaistuotannossa on havaittavissa korkeampi korrelaatio, mutta korrelaatio palaa sen jälkeen perustasolleen. Kokonaiskulutuksen korrelaatio on kokonaistuotantoa alhaisempi ja pitemmissä aikajaksoissa vaihtelevaa.

Return and volatility linkages between the S&P 500 and emerging stock markets in Eastern Europe

The aim of this thesis is to research mean return spillovers as well as volatility spillovers from the S&P 500 stock index in the USA to selected stock markets in the emerging economies in Eastern Europe between 2002 and 2014. The sample period has been divided into smaller subsamples, which enables taking different market conditions as well as the unification of the World’s capital markets during the financial crisis into account. Bivariate VAR(1) models are used to analyze the mean return spillovers while the volatility linkages are analyzed through the use of bivariate BEKK-GARCH(1,1) models. The results show both constant volatility pooling within the S&P 500 as well as some statistically significant spillovers of both return and volatility from the S&P 500 to the Eastern European emerging stock markets. Moreover, some of the results indicate that the volatility spillovers have increased as time has passed, indicating unification of global stock markets.