The potential benefits of divergent thinking and metacognitive skills in STEAM learning: A discussion paper

In the wake of an almost decade long economic downturn and increasing competition from developing economies, a new agenda in the Australian Government for science, technology, engineering, and mathematics (STEM) education and research has emerged as a national priority. However, to art and design educators, the pervasiveness and apparent exclusivity of STEM can be viewed as another instance of art and design education being relegated to the margins of curriculum (Greene, 1995). In the spirit of interdisciplinarity, there have been some recent calls to expand STEM education to include the arts and design, transforming STEM into STEAM in education (Maeda, 2013). As with STEM, STEAM education emphasises the connections between previously disparate disciplines, meaning that education has been conceptualised in different ways, such as focusing on the creative design thinking process that is fundamental to engineering and art (Bequette & Bequette, 2012). In this article, we discuss divergent creative design thinking process and metacognitive skills, how, and why they may enhance learning in STEM and STEAM.

Growth and Convergence: The case of China

Growth and Convergence: The Case of China Since the initiation of economic reforms in 1978, China has become one of the world’s fast-growing economies. The rapid growth, however, has not been shared equally across the different regions in China. The prominent feature of substantial differences in incomes and growth rates across the different Chinese regions has attracted the attention of many researchers. This book focuses on issues related to economic growth and convergence across the Chinese regions over the past three decades. The book has eight chapters. Apart from an introduction chapter and a concluding chapter, all the other chapters each deal with some certain aspects of the central issue of regional growth and convergence across China over the past three decades. The whole book is organized as follows. Chapter 1 provides an introduction to the basic issues involved in this book. Chapter 2 tests economic growth and convergence across 31 Chinese provinces during 1981-2005, based on the theoretical framework of the Solow growth model. Chapter 3 investigates the relationship between openness to foreign economic activities, such as foreign trade and foreign direct investment, and the regional economic growth in the case of China during 1981-2005. Chapter 4, based on data of 31 Chinese provinces over the period 1980-2004, presents new evidence on the effects of structural shocks and structural transformation on growth and convergence among the Chinese regions. Chapter 5, by building up an empirical model that takes account of different potential effects of foreign direct investment, focuses on the impacts of foreign direct investment on China’s regional economic performance and growth. Chapter 6 reconsiders the growth and convergence problem of the Chinese regions in an alternative theoretical framework with endogenous saving behavior and capital mobility across regions. Chapter 7, by building up a theoretical model concerning comparative advantage and transaction efficiency, focuses on one of the potential mechanisms through which China achieves its fast economic growth over the past few decades. Chapter 8 concludes the book by summarizing the results from the previous chapters and suggesting directions for further studies.

Sustainability and Mission Drift in Microfinance

Microfinance institutions (MFIs) are constrained by double bottom-lines: meeting social obligations (the first bottom-line) and obtaining financial self-sufficiency (the second bottom-line). The proponents of the first bottom-line, however, are increasingly concerned that there is a trade-off between these two bottom-lines—i.e., getting hold of financial self-sufficiency may lead MFIs to drift away from their original social mission of serving the very poor, commonly known as mission drift in microfinance which is still a controversial issue. This study aims at addressing the concerns for mission drift in microfinance in a performance analysis framework. Chapter 1 deals with theoretical background, motivation and objectives of the topic. Then the study explores the validity of three major and related present-day concerns. Chapter 2 explores the impact of profitability on outreach-quality in MFIs, commonly known as mission drift, using a unique panel database that contains 4-9 years’ observations from 253 MFIs in 69 countries. Chapter 3 introduces factor analysis, a multivariate tool, in the process of analysing mission drift in microfinance and the exercise in this chapter demonstrates how the statistical tool of factor analysis can be utilised to examine this conjecture. In order to explore why some microfinance institutions (MFIs) perform better than others, Chapter 4 looks at factors which have an impact on several performance indicators of MFIs—profitability or sustainability, repayment status and cost indicators—based on quality-data on 353 institutions in 77 countries. The study also demonstrates whether such mission drift can be avoided while having self-sustainability. In Chapter 5 we examine the impact of capital and financing structure on the performance of microfinance institutions where estimations with instruments have been performed using a panel dataset of 782 MFIs in 92 countries for the period 2000-2007. Finally, Chapter 6 concludes the study by summarising the results from the previous chapters and suggesting some directions for future studies.

Essays on Stock Market Reactions to New Information

A functioning stock market is an essential component of a competitive economy, since it provides a mechanism for allocating the economy’s capital stock. In an ideal situation, the stock market will steer capital in a manner that maximizes the total utility of the economy. As prices of traded stocks depend on and vary with information available to investors, it is apparent that information plays a crucial role in a functioning stock market. However, even though information indisputably matters, several issues regarding how stock markets process and react to new information still remain unanswered. The purpose of this thesis is to explore the link between new information and stock market reactions. The first essay utilizes new methodological tools in order to investigate the average reaction of investors to new financial statement information. The second essay explores the behavior of different types of investors when new financial statement information is disclosed to the market. The third essay looks into the interrelation between investor size, behavior and overconfidence. The fourth essay approaches the puzzle of negative skewness in stock returns from an altogether different angle than previous studies. The first essay presents evidence of the second derivatives of some financial statement signals containing more information than the first derivatives. Further, empirical evidence also indicates that some of the investigated signals proxy risk while others contain information priced with a delay. The second essay documents different categories of investors demonstrating systematical differences in their behavior when new financial statement information arrives to the market. In addition, a theoretical model building on differences in investor overconfidence is put forward in order to explain the observed behavior. The third essay shows that investor size describes investor behavior very well. This finding is predicted by the model proposed in the second essay, and hence strengthens the model. The behavioral differences between investors of different size furthermore have significant economic implications. Finally, the fourth essay finds strong evidence of management news disclosure practices causing negative skewness in stock returns.

Intraday Dynamics of International Equity Markets

The increased availability of high frequency data sets have led to important new insights in understanding of financial markets. The use of high frequency data is interesting and persuasive, since it can reveal new information that cannot be seen in lower data aggregation. This dissertation explores some of the many important issues connected with the use, analysis and application of high frequency data. These include the effects of intraday seasonal, the behaviour of time varying volatility, the information content of various market data, and the issue of inter market linkages utilizing high frequency 5 minute observations from major European and the U.S stock indices, namely DAX30 of Germany, CAC40 of France, SMI of Switzerland, FTSE100 of the UK and SP500 of the U.S. The first essay in the dissertation shows that there are remarkable similarities in the intraday behaviour of conditional volatility across European equity markets. Moreover, the U.S macroeconomic news announcements have significant cross border effect on both, European equity returns and volatilities. The second essay reports substantial intraday return and volatility linkages across European stock indices of the UK and Germany. This relationship appears virtually unchanged by the presence or absence of the U.S stock market. However, the return correlation among the U.K and German markets rises significantly following the U.S stock market opening, which could largely be described as a contemporaneous effect. The third essay sheds light on market microstructure issues in which traders and market makers learn from watching market data, and it is this learning process that leads to price adjustments. This study concludes that trading volume plays an important role in explaining international return and volatility transmissions. The examination concerning asymmetry reveals that the impact of the positive volume changes is larger on foreign stock market volatility than the negative changes. The fourth and the final essay documents number of regularities in the pattern of intraday return volatility, trading volume and bid-ask spreads. This study also reports a contemporaneous and positive relationship between the intraday return volatility, bid ask spread and unexpected trading volume. These results verify the role of trading volume and bid ask quotes as proxies for information arrival in producing contemporaneous and subsequent intraday return volatility. Moreover, asymmetric effect of trading volume on conditional volatility is also confirmed. Overall, this dissertation explores the role of information in explaining the intraday return and volatility dynamics in international stock markets. The process through which the information is incorporated in stock prices is central to all information-based models. The intraday data facilitates the investigation that how information gets incorporated into security prices as a result of the trading behavior of informed and uninformed traders. Thus high frequency data appears critical in enhancing our understanding of intraday behavior of various stock markets’ variables as it has important implications for market participants, regulators and academic researchers.

Corporate Governance in European Banks: Essays on Bank Ownership

Banks are important as they have a central role in the financial system, where funds are channelled either through financial intermediaries, such as banks, or through financial markets, hence promoting growth in any economy. Recently, we have been reminded of the drawbacks of the central role of banks. The current financial crisis, which started out as a sub-prime mortgage crisis in the US, has become a global financial crisis with substantial impact on the real economy in many countries. Some of the roots to the current financial crisis can be sought in the changing role of banks and in bank corporate governance. Moreover, the substantial revitalising measures taken have been justified by the central role of banks. Not only are banks important, they are also very special. The fact that banks are regulated in conjunction with greater opacity, make bank corporate governance different from corporate governance in non-bank companies. Surprisingly little is, however, known about bank corporate governance, in particularly, in a European setting. Hence, the objective of this doctoral thesis is to provide new insights in this research area by examining banks from 37 different European countries. Each of the three essays included in the doctoral thesis examines a particular aspect of bank corporate governance. In the first essay the interaction between the regulatory environment a bank operates in and its ownership structure is explored. Indicators of the severity of the moral hazard problem induced by the deposit insurance system and implicit too-big-to-fail government guarantee, particular features of deposit insurance systems as well as legal protection of shareholders, legal origin of a country and level of integration to the European community are used in the analysis. The empirical findings confirm previous findings on the link between legal protection of shareholders and ownership structure. Moreover, they show that differences in deposit insurance system features can explain some of the differences in ownership structure across European banks. In the second essay the impact of management and board ownership on the profitability of banks with different strategy is examined. The empirical findings suggest that the efficiency of these two particular corporate governance mechanisms varies with the characteristics of the agency problem faced by the bank. More specifically, management ownership is important in opaque non-traditional banks, whereas board ownership is important in traditional banks, where deposit insurance reduces the monitoring incentives of outsiders. The higher profitability does, however, go together with higher risk. In the third essay the profitability and risk of commercial, savings and cooperative banks are compared. The empirical findings suggest that distinct operational and ownership characteristics rather than only the mere fact that a bank is a commercial, savings or cooperative bank explain the profitability and risk differences. The main insight from the three essays is that a number of different aspects should be addressed simultaneously in order to give the complexity of bank corporate governance justice.

Inference on Cointegration in Vector Autoregressive Models (summary section only)

In the thesis we consider inference for cointegration in vector autoregressive (VAR) models. The thesis consists of an introduction and four papers. The first paper proposes a new test for cointegration in VAR models that is directly based on the eigenvalues of the least squares (LS) estimate of the autoregressive matrix. In the second paper we compare a small sample correction for the likelihood ratio (LR) test of cointegrating rank and the bootstrap. The simulation experiments show that the bootstrap works very well in practice and dominates the correction factor. The tests are applied to international stock prices data, and the .nite sample performance of the tests are investigated by simulating the data. The third paper studies the demand for money in Sweden 1970—2000 using the I(2) model. In the fourth paper we re-examine the evidence of cointegration between international stock prices. The paper shows that some of the previous empirical results can be explained by the small-sample bias and size distortion of Johansen’s LR tests for cointegration. In all papers we work with two data sets. The first data set is a Swedish money demand data set with observations on the money stock, the consumer price index, gross domestic product (GDP), the short-term interest rate and the long-term interest rate. The data are quarterly and the sample period is 1970(1)—2000(1). The second data set consists of month-end stock market index observations for Finland, France, Germany, Sweden, the United Kingdom and the United States from 1980(1) to 1997(2). Both data sets are typical of the sample sizes encountered in economic data, and the applications illustrate the usefulness of the models and tests discussed in the thesis.

Test of the Clustering Hypothesis in the Helsinki Exchanges

This paper investigates the clustering pattern in the Finnish stock market. Using trading volume and time as factors capturing the clustering pattern in the market, the Keim and Madhavan (1996) and the Engle and Russell (1998) model provide the framework for the analysis. The descriptive and the parametric analysis provide evidences that an important determinant of the famous U-shape pattern in the market is the rate of information arrivals as measured by large trading volumes and durations at the market open and close. Precisely, 1) the larger the trading volume, the greater the impact on prices both in the short and the long run, thus prices will differ across quantities. 2) Large trading volume is a non-linear function of price changes in the long run. 3) Arrival times are positively autocorrelated, indicating a clustering pattern and 4) Information arrivals as approximated by durations are negatively related to trading flow.

Hyvät pahat pörssiyhtiöt?

Pörssiyhtiöihin liitetään julkisessa keskustelussa usein väitteitä, että pörssiyhtiöt palvelevat osakkeenomistajien lyhytaikaisia etuja muiden sidosryhmien ja myös pitkän aikavälin tuottavuuden kustannuksella. Keskitymme tässä selonteossa tutkimaan onko pörssiyhtiöiden julkisuudessa osalleen saama kritiikki ansaittua. Erityisesti tarkastelemme pörssiyhtiöiden roolia työnantajina ja investoijina 2000- luvulla verrattuna noteeraamattomien yritysten rooliin. Selvitämme myös listattujen ja listaamattomien yritysten eroja sijoituskohteina sekä tutkimme, onko pörssissä ololla vaikutusta yrityksen rahoitusrakenteeseen. Olemme jättäneet vertailun ulkopuolelle nopeasti kasvaneet ja kannattavat tietotekniikka-alan yritykset, joille ei ole olemassa noteeraamattomia vertailukohteita. Lisäksi vertailustamme olemme jättäneet pois yritykset, jotka eivät ole olleet listattuina koko tarkasteluperiodimme aikana. Pois jättämämme kasvuyritykset todennäköisesti parantaisivat pörssiyhtiöiden suhteellista asemaa ainakin kasvu- ja tulosnäkökulmista. Osakkeenomistajien edun lyhytnäköisen valvonnan tulisi johtaa työntekijöiden hyväksikäyttöön ja pitkäaikaisinvestointien karttamiseen. Tuloksemme kuitenkin kertovat päinvastaista. Pörssiyhtiöiden työntekijäkohtaiset henkilökulut ovat selvästi samoilla aloilla toimivia noteeraamattomia yrityksiä korkeammat. Erot ovat huomattavat: pörssiyhtiöiden vuosittaiset henkilökulut ovat noin 3000–4000 euroa suuremmat per henkilö. Lisäksi pörssiyhtiöt ovat kasvattaneet työntekijämääräänsä huomattavasti, toisin kuin noteeraamattomat vertailuyritykset. Otantamme pörssiyhtiöiden kokonaistyöllisyys on 2000-luvulla kasvanut keskimäärin noin 3 % vuodessa. Pörssiyhtiöt työllistivät vuonna 2007 lähes 87.000 työntekijää enemmän kuin vuonna 2001, kun taas yksityisen vertailuryhmän osalta työpaikat olivat samaan aikaan vähentyneet noin 2 500:lla. Pörssiyhtiöiden investoinnit ovat useina vuosina olleet listaamattomia yrityksiä suuremmat, joskin erot kahden ryhmän välillä eivät tyypillisesti ole tilastollisesti merkittäviä. Sidosryhmien hyväksikäytölle tai lyhytjänteisyydelle ei siis tältä osin löydy minkäänlaisia todisteita. Investointituotoissa ei ole järjestelmällisiä eroja kahden ryhmän välillä, lukuunottamatta aivan viime vuosia, jolloin pörssiyhtiöiden oman pääoman tuotto on ollut selvästi korkeampi kuin noteeraamattomien yritysten. Pörssiyhtiöillä ja noteeraamattomilla vertailuyrityksillä on merkittäviä eroja osingonmaksussa. Pörssiyhtiöt maksavat selvästi korkeampia osinkoja kuin vertailuryhmään kuuluvat yritykset. Pörssiyhtiöt maksavat omistajilleen noin puolet nettotuloksistaan osinkoina, kun taas noteeraamattomat yritykset maksavat ainoastaan 20–30 %. Erot pörssiyhtiöiden hyväksi ovat vielä suurempia, kun mittarina käytetään osinkojen suhdetta liikevaihtoon. Tulostemme mukaan pörssiyhtiöt käyttävät velkarahoitusta vastaavia noteeraamattomia yrityksiä enemmän. Tämä voi johtua kahdesta syystä. Ensinnäkin, koska osakkeen julkinen kauppa mahdollistaa omistuspohjan laajenemisen ja alkuperäisyrittäjien sijoitusten paremman hajauttamisen, pörssiyrityksellä on suurempi halukkuus riskinottoon lisäämällä velkarahoitusta. Toisaalta pörssilistaus voi toimia signaalina yrityksen laadusta siten, että rahoittajat tarjoavat velkarahoitusta auliimmin ja paremmilla ehdoilla. Pörssiyhtiöiden suurempi velkaisuus ei ole ollenkaan negatiivinen asia, koska velkarahoitus on verohyötyineen tyypillisesti huomattavasti osakerahoitusta edullisempaa. Tämä taas mahdollistaa lisäinvestointeja, joita ei rahoituksen puutteessa muuten tehtäisi. Yleisemmin rahoitusrakenteiden eroja tarkastellessamme huomaamme viitteitä siitä, että koska pörssiyhtiöillä on mahdollisuus saada osakepääomaa helpommin kuin listaamattomien yhtiöiden, ne pystyvät reagoimaan sekä tuote-, että rahoitusmarkkinoiden 3 mahdollisuuksiin. Listaamattomien yritysten rahoitusrakenne ja myös investoinnit sen sijaan näyttäisivät olevan pitkälle sidonnaisia tulorahoituksen tarjoamiin kassavirtoihin. Pörssiyhtiöt investoivat vähintään yhtä paljon kuin vastaavat noteeraamattomat yritykset ja investointien tuottavuus on vähintään yhtä hyvä. Pörssiyhtiöt ovat parempia palkanmaksajia ja työllistäjiä kuin vastaavat yksityiset yritykset. Pörssiyhtiöt pystyvät maksaamaan selkeästi parempia osinkoja investointien ja muun toiminnan siitä kärsimättä, koska velkarahoituksen parempi saatavuus tai pörssiyhtiöiden suurempi halukkuus käyttää velkarahoitusta tuovat rahoitusrakenteeseen tarvittavaa joustavuutta. Tulostemme valossa arvostelu osakkeenomistajien lyhytaikaisten etujen suosimisesta muiden sidosryhmien tai pitkän aikavälin tuottavuuden kustannuksella ei ole perusteltavissa.

Bootstrapping the Error Correction Model Cointegration Test

This paper is concerned with using the bootstrap to obtain improved critical values for the error correction model (ECM) cointegration test in dynamic models. In the paper we investigate the effects of dynamic specification on the size and power of the ECM cointegration test with bootstrap critical values. The results from a Monte Carlo study show that the size of the bootstrap ECM cointegration test is close to the nominal significance level. We find that overspecification of the lag length results in a loss of power. Underspecification of the lag length results in size distortion. The performance of the bootstrap ECM cointegration test deteriorates if the correct lag length is not used in the ECM. The bootstrap ECM cointegration test is therefore not robust to model misspecification.

The Power of Bootstrap Tests of Cointegration Rank with Financial Time Series

Bootstrap likelihood ratio tests of cointegration rank are commonly used because they tend to have rejection probabilities that are closer to the nominal level than the rejection probabilities of the correspond- ing asymptotic tests. The e¤ect of bootstrapping the test on its power is largely unknown. We show that a new computationally inexpensive procedure can be applied to the estimation of the power function of the bootstrap test of cointegration rank. The bootstrap test is found to have a power function close to that of the level-adjusted asymp- totic test. The bootstrap test estimates the level-adjusted power of the asymptotic test highly accurately. The bootstrap test may have low power to reject the null hypothesis of cointegration rank zero, or underestimate the cointegration rank. An empirical application to Euribor interest rates is provided as an illustration of the findings.