TL;DR: In this article, a customized financial literacy and insurance education module communicating the need for personal financial management and the usefulness of formal hedging of agricultural production risks was offered to randomly selected farmers in Gujarat, India.
Abstract: Recent financial liberalization in emerging economies has led to the rapid introduction of new financial products. Lack of experience with financial products, low levels of education, and low financial literacy may slow adoption of these products. This article reports on a field experiment that offered an innovative new financial product, rainfall insurance, to 600 small-scale farmers in India. A customized financial literacy and insurance education module communicating the need for personal financial management and the usefulness of formal hedging of agricultural production risks was offered to randomly selected farmers in Gujarat, India. The authors evaluate the effect of the financial literacy training and three marketing treatments using a randomized controlled trial. Financial education has a positive and significant effect on rainfall insurance adoption, increasing take-up from 8% to 16%. Only one marketing intervention, the money-back guarantee, has a consistent and large effect on farmers...
TL;DR: A Brief History of the Literature on Financial Ratios as Predictors of Distress can be found in this article, where the authors propose a model for predicting the probability of bankruptcy.
Abstract: Introduction. 1. Concepts of Financial Distress. 2. Theory of the Use of Financial Statement Ratios to Assess Financial Distress. 3. A Brief History of the Literature on Financial Ratios as Predictors of Distress. 4. The Use of Market Value-Based Prediction Models. 5. Modeling the probability of bankruptcy. 6. Key Empirical Results for the Prediction of Bankruptcy. 7. Bond Ratings, Financial Ratios and Financial Distress. 8. Suggested Directions for Future Research. 9. Concluding Remarks. References.
TL;DR: In this article, the authors investigate the relationship between firm characteristics as captured by accounting and market data and a firm's probability of private information-based trade (PIN) as estimated from trade data.
Abstract: This paper investigates the linkage of microstructure, accounting, and asset pricing. We determine the relationship between firm characteristics as captured by accounting and market data and a firm's probability of private information-based trade (PIN) as estimated from trade data. This allows us to determine what types of firms have high information risk. We then use these data to create an instrument for PIN, the PPIN, which we can estimate from firm-specific data. We show that PPINs have explanatory power for the cross-section of asset returns in long sample tests. We also investigate whether information risk vitiates the influence of other variables on asset returns. Our results provide strong support for information risk affecting asset returns, and suggest that PIN weakens, but does not remove, the role of size in asset returns.
TL;DR: In this article, the impact of trade and financial liberalization on the degree of stock market co-movement among emerging economies is investigated using a sample of 25 developing countries observed over 15 years.
Abstract: This paper investigates the impact of trade and financial liberalisation on the degree of stock market co-movement among emerging economies. Using a sample of 25 developing countries observed over 15 years, we estimate the impact of reforms aimed at opening these countries through trade and financial channels to the rest of the world. The estimation of time-varying cross-country correlations allows the econometric investigation to be performed using a panel data framework, thus raising the quality of the statistical inference. Our results offer strong support in favour of a positive impact of trade and financial liberalisation reforms on the degree of cross-country stock market linkages.
TL;DR: In this article, the authors investigate the relationship between firm characteristics as captured by accounting and market data and a firm's probability of private information-based trade (PIN) as estimated from trade data.
TL;DR: In this article, the authors argue that conventional financial theory failed to adequately account for the complexity of modern financial markets and the nature and pace of financial innovation, and that while the embryonic post-crisis regulatory regimes governing OTC derivatives markets in the U.S. and Europe go some distance toward addressing the regulatory challenges stemming from complexity, they effectively disregard those generated by financial innovation.
Abstract: The intellectual origins of the global financial crisis (GFC) can be traced back to blind spots emanating from within conventional financial theory. These blind spots are distorted reflections of the perfect market assumptions underpinning the canonical theories of financial economics: modern portfolio theory; the Modigliani and Miller capital structure irrelevancy principle; the capital asset pricing model and, perhaps most importantly, the efficient market hypothesis. In the decades leading up to the GFC, these assumptions were transformed from empirically (con)testable propositions into the central articles of faith of the ideology of modern finance: the foundations of a widely held belief in the self-correcting nature of markets and their consequent optimality as mechanisms for the allocation of society’s resources. This ideology, in turn, exerted a profound influence on how we regulate financial markets and institutions. The GFC has exposed the folly of this market fundamentalism as a driver of public policy. It has also exposed conventional financial theory as fundamentally incomplete. Perhaps most glaringly, conventional financial theory failed to adequately account for the complexity of modern financial markets and the nature and pace of financial innovation. Utilizing three case studies drawn from the world of over-the-counter (OTC) derivatives – securitization, synthetic exchange-traded funds and collateral swaps – the objective of this paper is thus to start us down the path toward a more robust understanding of complexity, financial innovation and the regulatory challenges flowing from the interaction of these powerful market dynamics. This paper argues that while the embryonic post-crisis regulatory regimes governing OTC derivatives markets in the U.S. and Europe go some distance toward addressing the regulatory challenges stemming from complexity, they effectively disregard those generated by financial innovation.
TL;DR: In this paper, it is argued that money is only accepted in business and on the financial market because it has the power to purchase consumers' goods and if it did not have this power, nobody would be ready to exchange a real good against it.
Abstract: The present thesis is a contribution to the analysis of the relationship between the real and the financial sector of the economy. The corresponding gap in the scientific literature is closed. It is concluded that the classical concept of the "wages fund," after some modifications, can serve as a useful tool in the macroeconomic analysis of the financial market. This approach simplifies the study and the exact description of the real functions accomplished by the financial market. It is maintained that the function of this market consists in allocating the available fund of consumers' goods - the wages fund - to those places where it is needed the most. So there is a very close relationship between the financial market and the satisfaction of human needs. The second important concept for the analysis of the relationship between the real and the financial sector is the value of money. We argue that money is only accepted in business and on the financial market because it has the power to purchase consumers' goods. If it did not have this power, nobody would be ready to exchange a real good against it. So in allocating the monetary savings, the financial market, in real terms, indeed allocates the available consumers' good. The analysis of the value of money thus opens up the way to a new conception of the real side of the financial market based on the wages fund theory. We apply our results to empirical data of the German economic crisis of 1873, which very much resembles the recent financial crisis on the occidental financial markets.
TL;DR: In this paper, a simple model was developed to study the interactions between a supplier's financial constraints and contract incompleteness in a vertical relationship, and the model was applied to an analysis of multinational firms' sourcing strategies and predict that complex and specific inputs are more likely to be sourced from financially developed countries.
Abstract: We develop a simple model to study the interactions between a supplier’s financial constraints and contract incompleteness in a vertical relationship. Production complexity increases the extent of contract incompleteness and the hold-up problem, which generates a cost when the supplier needs financial participation from the downstream firm. Vertical integration alleviates the impact of financial constraints but reduces the supplier’s incentives. We apply the model to an analysis of multinational firms’ sourcing strategies and predict that (1) complex and specific inputs are more likely to be sourced from financially developed countries and (2) multinationals are more likely to integrate suppliers located in countries with poor financial institutions, especially when trade involves complex goods. We examine and validate these predictions using firm-level trade data on multinational firms with operations in France. We provide evidence that financial development generates a comparative advantage in the supply of complex goods. Moreover, we find higher shares of intra-firm imports of complex inputs from countries with a lower level of financial development. The findings are robust to different measures of complexity and specificity, and are not driven by industry differences in fixed costs or traditional measures of external financial dependence. Quantitatively, we find that financial development is as important as contract enforcement in alleviating hold-up problems.
TL;DR: In this paper, the authors describe the changes and some of the economic theory that has been useful for thinking about online advertising markets, retail and business-to-business e-commerce, internet job matching and financial exchanges, and other internet platforms.
Abstract: The internet has facilitated the creation of new markets characterized by large scale, increased customization, rapid innovation and the collection and use of detailed consumer and market data. I describe these changes and some of the economic theory that has been useful for thinking about online advertising markets, retail and business-to-business e-commerce, internet job matching and financial exchanges, and other internet platforms. I also discuss the empirical evidence on competition and consumer behavior in internet markets and some directions for future research.
TL;DR: A stock trading system that uses multi-objective particle swarm optimization (MOPSO) of financial technical indicators and is found to be robust and fast, showing the potential of the system as a tool for making stock trading decisions.
Abstract: Stock traders consider several factors or objectives in making decisions. Moreover, they differ in the importance they attach to each of these objectives. This requires a tool that can provide an optimal tradeoff among different objectives, a problem aptly solved by a multi-objective optimization (MOO) system. This paper aims to investigate the application of multi-objective optimization to end-of-day historical stock trading. We present a stock trading system that uses multi-objective particle swarm optimization (MOPSO) of financial technical indicators. Using end-of-day market data, the system optimizes the weights of several technical indicators over two objective functions, namely, percent profit and Sharpe ratio. The performance of the system was compared to the performance of the technical indicators, the performance of the market, and the performance of another stock trading system which was optimized with the NSGA-II algorithm, a genetic algorithm-based MOO method. The results show that the system performed well on both training and out-of-sample data. In terms of percent profit, the system outperformed most, if not all, of the indicators under study, and, in some instances, it even outperformed the market itself. In terms of Sharpe ratio, the system consistently performed significantly better than all the technical indicators. The proposed MOPSO system also performed far better than the system optimized by NSGA-II. The proposed system provided a diversity of solutions for the two objective functions and is found to be robust and fast. These results show the potential of the system as a tool for making stock trading decisions.
TL;DR: In this article, a system and methods for processing mass quote messages and generating market data are described, where a mass quote message is received and individual orders are parsed and processed, and individual market data messages are stored in a market data message buffer.
Abstract: Systems and methods are provided for processing mass quote messages and generating market data. A mass quote message is received and individual orders are parsed and processed. Individual market data messages are stored in a market data message buffer. After all orders are processed, the contents of the market data message buffer is distributed as a single market data message.
TL;DR: It is demonstrated that it is possible to model the trade filters that bias market data, which opens the way to developing more robust market-based sustainability indices for the bushmeat trade.
Abstract: Finding an adequate measure of hunting sustainability for tropical forests has proved difficult. Many researchers have used urban bushmeat market surveys as indicators of hunting volumes and composition, but no analysis has been done of the reliability of market data in reflecting village offtake. We used data from urban markets and the villages that supply these markets to examine changes in the volume and composition of traded bushmeat between the village and the market (trade filters) in Equatorial Guinea. We collected data with market surveys and hunter offtake diaries. The trade filters varied depending on village remoteness and the monopoly power of traders. In a village with limited market access, species that maximized trader profits were most likely to be traded. In a village with greater market access, species for which hunters gained the greatest income per carcass were more likely to be traded. The probability of particular species being sold to market also depended on the capture method and season. Larger, more vulnerable species were more likely to be supplied from less-accessible catchments, whereas there was no effect of forest cover or human population density on probability of being sold. This suggests that the composition of bushmeat offtake in an area may be driven more by urban demand than the geographic characteristics of that area. In one market, traders may have reached the limit of their geographical exploitation range, and hunting pressure within that range may be increasing. Our results demonstrate that it is possible to model the trade filters that bias market data, which opens the way to developing more robust market-based sustainability indices for the bushmeat trade.
TL;DR: In this article, the authors discuss the role that financial innovations play in the modern financial system, aiming at identifying and systematizing the core problems and definitions related to this issue.
Abstract: This paper discusses the role that financial innovations play in the modern financial system, aiming at identifying and systematizing the core problems and definitions related to this issue. The paper first describes the importance of the financial system and financial markets in the economy, explaining their functions and presenting their particular characteristics, focusing on their innovativeness. Then, based on the theoretical studies, the broad definition of the financial innovations is developed, stating that any new developments in any elements of the financial system, including: markets, institutions, instruments and regulations, can be regarded as financial innovations if they are perceived as new by the end-user of innovation. Next, the systematization of the most important types of financial innovations is presented regarding different classification criteria, such as: sources of innovations, motives for innovations, their effects or functions. As financial innovations are not a homogenous group of financial developments, their implications for the financial system can be ambiguous, thus the final assessment of their role can not be generalized and should be made on a case-by-case basis. The information presented in this paper can be regarded as an introduction, encouraging to do further research, as the complexity of the financial innovations makes them an interesting and important subject for this.
TL;DR: In this paper, the authors distinguish the economic problems when large financial institutions (banks) become insolvent from the political challenges that exist before banks are distressed, and identify the size at which they believe banks become too big to fail.
Abstract: We distinguish the economic problems when large financial institutions (“banks”) become insolvent from the political challenges that exist before banks are distressed. These political problems arise because policymakers would like to be able to precommit while a bank is still healthy to refrain from bailing out the bank later, should it become distressed. Political theory and historical experience show that politicians facing unsettled capital markets and highly anxious voters will always bail out the financial institutions that they deem “Too Big To Fail.” As such, the only way for government credibly to commit to refrain from pursuing a Too Big To Fail policy is to break up the largest financial institutions before they become Too Big To Fail. We identify the size at which we believe banks become Too Big To Fail. Banks that reach this size should be broken up. Liabilities should be limited to a metric based on the actual funds devoted to resolving failed banks. The metric that we identify is the targeted value of the FDIC’s Deposit Insurance Fund. We would prohibit any financial institution from amassing liabilities in an amount greater than five percent of the targeted value of this fund. The government could thereby commit credibly to stopping bailouts and to pursuing a policy of allowing financial institutions to fail. We believe that the lost economies of scale associated with this “ersatz-antitrust policy” would be offset by the large savings realized by avoiding future
TL;DR: In this article, the authors describe the changes and some of the economic theory that has been useful for thinking about online advertising markets, retail and business-to-business e-commerce, internet job matching and financial exchanges, and other internet platforms.
Abstract: The internet has facilitated the creation of new markets characterized by large scale, increased customization, rapid innovation and the collection and use of detailed consumer and market data. I describe these changes and some of the economic theory that has been useful for thinking about online advertising markets, retail and business-to-business e-commerce, internet job matching and financial exchanges, and other internet platforms. I also discuss the empirical evidence on competition and consumer behavior in internet markets and some directions for future research.
TL;DR: In this article, a condition is defined of a trading market that includes one or both of submitted and executed transactions of financial articles of trade over the multiple liquidity destinations, associated with an entity.
Abstract: Market data is monitored for purposes of canceling orders for financial articles of trade. Real-time data is collected from multiple liquidity destinations trading at least one financial article of trade. The real-time data comprises disparate data corresponding to associated liquidity destinations. The collected real-time data is normalized into a standardized form. A condition is defined of a trading market that includes one or both of submitted and executed transactions of financial articles of trade over the multiple liquidity destinations. The condition is associated with an entity. Through monitoring of the normalized real-time data, an event is identified in the trading market that matches the condition. Upon identification of the condition, at least one communication session between the entity and a corresponding liquidity destination is terminated causing a process at the corresponding liquidity destination to cancel pending or outstanding orders for financial articles of trades from the entity.
TL;DR: This article applied the new panel convergence methodology developed by Phillips and Sul (2007a) on 13 financial development indices from the World Bank's Financial Development and Structure database, to test for financial system convergence across a large set of industrial and developing countries.
Abstract: We apply the new panel convergence methodology developed by Phillips and Sul (2007a) on 13 financial development indices from the World Bank’s Financial Development and Structure database, to test for financial system convergence across a large set of industrial and developing countries Our results indicate that there is no convergence for either the financial systems as a whole or their main segments Far from decreasing, the differences in the financial systems of the sample countries seemingly persist or even increase over timeThese differences are more pronounced for the stock market segment and private credit by banks, and less so for the bond market segment and bank deposits Moreover, the convergent clubs for most indices
transcend the distinction industrial vs developing countries, as well as the distinction bank-based vs capital market-based financial systems
TL;DR: In this paper, the authors propose a methodology to stabilize the financial markets using game theory and in particular the Complete Study of a Differentiable Game, introduced in the literature by David Carfi and others.
Abstract: The aim of this paper is to propose a methodology to stabilize the financial markets using Game Theory
and in particular the Complete Study of a Differentiable Game, introduced in the literature by David Carfi
Specifically, we will focus on two economic operators: a real economic subject and a financial institute (a bank,
for example) with a big economic availability For this purpose we will discuss about an interaction between the
two above economic subjects: the Enterprise, our first player, and the Financial Institute, our second player The
only solution which allows both players to win something, and therefore the only one desirable, is represented by
an agreement between the two subjects: the Enterprise artificially causes an inconsistency between spot and
future markets, and the Financial Institute, who was unable to make arbitrages alone, because of the introduction
by the normative authority of a tax on economic transactions (that we propose to stabilize the financial market, in
order to protect it from speculations), takes the opportunity to win the maximum possible collective (social) sum,
which later will be divided with the Enterprise by contract
TL;DR: In this article, the authors consider the sources of systemic gains, losses and risks associated with SIFIs in historical context, in the theoretical and empirical literature, and in public policy discussions, i.e., what is gained and what is lost as a result of the available policy options to deal the dominant role of SIFI in the financial architecture.
Abstract: Consolidation has been a fact of life in the wholesale financial services sector, resulting in fundamental change in the financial architecture and public exposure to systemic risk. The underlying drivers include advances in transactions and information technologies, regulatory changes, geographic shifts in growth opportunities, and the rapid evolution of client requirements, which in combination have obliged financial firms to rethink their roles as intermediaries. Moreover, financial sector reconfiguration has accelerated as a result of the global market turbulence that began in 2007, with governments either forcing or encouraging combinations of stronger and weaker financial firms in an effort to stem the crisis and improve systemic robustness. In the process, financial firms that are “systemic” in nature and had a major role in creating the crisis have come out of it with even larger market shares and greater systemic importance. Given the episodic socialization of risk in the form of widespread use of public guarantees to firms judged too big or too interconnected to be allowed to fail, the role of systemically important financial institutions (SIFIs) is central to the financial architecture and the public interest going forward. This survey paper considers the sources of systemic gains, losses and risks associated with SIFIs in historical context, in the theoretical and empirical literature, and in public policy discussions – i.e., what is gained and what is lost as a result of the available policy options to deal the dominant role of SIFIs in the financial architecture?
TL;DR: The impact of the global financial crisis on euro area cross-border financial flows by comparing recent developments with the main pre-crisis trends is analyzed in this paper. But, as balance sheet restructuring by financial and non-financial corporations continues, cross-banking financial flows have remained well below pre-Crisis levels.
Abstract: This paper analyses the impact of the global financial crisis on euro area cross-border financial flows by comparing recent developments with the main pre-crisis trends. Two prominent features of the period of turmoil were (i) the sizeable deleveraging of external financial exposures by the private sector and, in particular, the banking sector from 2008 and (ii) the significant changes in the composition of euro area cross-border portfolio flows, as investors shifted from equity to debt instruments, from long-term to short-term debt instruments and from private to public sector securities. Since 2009 such trends have started reversing. However, as balance sheet restructuring by financial and non-financial corporations continues, cross-border financial flows have remained well below pre-crisis levels. The degree of resumption and volatility of crossborder financial activity may have a major bearing on growth prospects for the euro area and may also matter from a financial stability perspective. We argue that the recent experience, first of extraordinary growth and then of scaling down of international financial activity, calls for enhanced monitoring of developments in crossborder financial flows so that the underlying risks to the domestic economy stemming from the financial sector can be better assessed. Looking forward, successful implementation of policy actions to promote macroeconomic discipline and enhance financial regulation and supervision could influence, inter alia, the composition and volume of cross-border capital flows, contributing to a more efficient and sustainable allocation of resources.
TL;DR: In this article, the authors use a novel approach rooted in textual analysis to identify and measure financial stress and apply the techniques to the European Central Bank's monthly Bulletin and show that the results give a much more complete and nuanced picture of market distress than those based only on market data.
Abstract: While knowing there is a financial distress 'when you see it' might be true, it is not particularly helpful. Indeed, central banks have an interest in understanding more systematically how their communication affects the markets, not least in order to avoid unnecessary volatility; the markets for their part have an interest in better deciphering the message of central banks, especially of course with regard to the conduct of future monetary policy. In this paper we use a novel approach rooted in textual analysis to begin to address these issues. Building on previous work from textual analysis, we are able to use quantitative methods to help identify and measure financial stress. We apply the techniques to the European Central Bank's Monthly Bulletin and show that the results give a much more complete and nuanced picture of market distress than those based only on market data and may help improve how the Central Bank's communication is designed and understood.
TL;DR: In this article, the authors employed Z-score value, which can be used to measure multinomial financial crisis index for forecasting, and utilizes Grey Markov forecasting for valuation.
Abstract: The business environment is rapidly changing and some enterprises have announced unexpected restructurings, leading to stagnating stock prices and declines in their business performance. To prepare for calamity, it is becoming increasingly important for enterprise managers to use current financial data for short-term financial forecasting. Managers and investors are increasingly concerned with immediately and accurately forecasting firm financial crises using a limited amount of financial data. This work employs Z-Score value, which can be used to measure multinomial financial crisis index for forecasting, and utilizes Grey Markov forecasting for valuation. Based on the research results, the accuracy of the Grey Markov forecasting model is as expected, with excellent Z-Score, and the model can rapidly forecast the likelihood of firm financial crises. The study results can provide a good reference for government and financial institutions in examining financial risk, and for investors in selecting investment targets.
TL;DR: In this paper, the authors have shown that the financial managers balk at disclosing the timely financial date is one of the causes of presence of weakness in setting up of internet financial reporting system, while this is not the cases as regards the financial expenditures incurred as a result of such a system.
Abstract: Internet Financial Reporting (IFR) is a new technology which has been introduced in the area of financial reporting. This kind of reporting implies the application of corporate websites in order for dissemination of all information relating to the financial performances of the relevant companies. In the case of utilization by such companies of IFR they would put a “comprehensive collection of financial statements” (including explanatory notes accompanying the financial statements and auditors' reports) on their websites. However, the popularity of the internet to be applied in the financial reporting may be affected by many factors like social, cultural, institutional, and legal factors. The statistical society of this research is made up of the financial managers of the studied companies in Iran during 2008. In order to collect the required data the financial managers of the listed companies in Tehran Stock Exchange (TSE) were questioned. In this study, two hypotheses were developed. The findings shows that the financial managers' balk at disclosing the timely financial date is one of the causes of presence of weakness in setting up of internet financial reporting system, while this is not the cases as regards the financial expenditures incurred as a result of such as system.
Key words: Internet financial reporting, financial expenditures, portable document formats, and hypertext markup language.
TL;DR: In this article, an exploratory analysis of non-US voices concerning the nature of the causes of the Global Financial Crisis (GFC) is presented, which provides glimpses of the globalized extent of assumptions shared, but not debated within the globalization convergence of financial markets as the neo-liberal project.
Abstract: Much has been written about Wall Street and the global financial crisis (GFC). From a fraudulent derivatives market to a contestable culture of banking bonuses, culpability has been examined within the frames of American praxis, namely that of American exceptionalism. This study begins with an exploratory analysis of non-US voices concerning the nature of the causes of the GFC. The analysis provides glimpses of the globalized extent of assumptions shared, but not debated within the globalization convergence of financial markets as the neo-liberal project. Practical and paradigmatic tensions are revealed in the capture of a London-based set of views articulated by senior financial executives of financial service organizations, the outcomes of which are not overly optimistic for any significant change in praxis within the immediate future.
TL;DR: Information Systems for Global Financial Markets: Emerging Developments and Effects offers focused research on the systems and technologies that provide intelligence and expertise to traders and investors and facilitate the agile ordering processes, networking, and regulation of global financial electronic markets as discussed by the authors.
Abstract: Financial markets around the world can affect each other in a matter of seconds as financial information systems are programmed to buy or sell stocks and financial derivatives automatically when activated by sudden changes in global market trends and conditions.Information Systems for Global Financial Markets: Emerging Developments and Effects offers focused research on the systems and technologies that provide intelligence and expertise to traders and investors and facilitate the agile ordering processes, networking, and regulation of global financial electronic markets. How these systems work to manipulate, move, and provide intelligence to the stock market is still a mystery to many students, and it is the intent of this book to provide real-world cases and examples that can unveil these systems to business students interested in financial trading, the dynamics of financial electronic markets, and the tactical technologies that facilitate the trading process and trading decisions.
TL;DR: In this article, the authors carried out an empirical association study on the problem of market value relevance of consolidated financial statements and of individual financial statements of the parent comp any, searching for an answer to the above question.
Abstract: Within the European Union, parent companies have to prepare and publish both consolidated and individual financial statements. The objective of financial statements with general purpose is to give information regar ding the financial position, performance and changes in financial position of the reporting entity, information that is useful to investors and other users in making economic decisions. In order to be useful, financial information needs to be relevant to t he decision-making process of users in general, and investors in particular. Therefore, the following question arises naturally �which of the two sets best serves the information needs of investors (and other categories of users), respectively which of th e two sets is more relevant for investors? In our scientific endeavor we set to carry out an empirical association study on the problem of market value relevance of consolidated financial statements and of individual financial statements of the parent comp any, searching for an answer to the above question. In this sense, we analyze the (absolute and relative) market value relevance of consolidated accounting information of listed companies between 2003 -2008 on the largest stock markets in Europe (London, Pa ris, and Frankfurt). Through this empirical study we intend to contribute to the relatively limited literature on this topic with a comparative time analysis of the absolute and incremental relevance of financial information supplied by the two categories of financial statements (group and individual).
TL;DR: An informative guide to market microstructure and trading strategies is provided in this paper, where the authors focus on the basics of market dynamics, including statistical distributions and volatility of returns, as well as a more detailed description of trading performance criteria and back-testing strategies.
Abstract: An informative guide to market microstructure and trading strategiesOver the last decade, the financial landscape has undergone a significant transformation, shaped by the forces of technology, globalization, and market innovations to name a few. In order to operate effectively in today's markets, you need more than just the motivation to succeed, you need a firm understanding of how modern financial markets work and what professional trading is really about. Dr. Anatoly Schmidt, who has worked in the financial industry since 1997, and teaches in the Financial Engineering program of Stevens Institute of Technology, puts these topics in perspective with his new book.Divided into three comprehensive parts, this reliable resource offers a balance between the theoretical aspects of market microstructure and trading strategies that may be more relevant for practitioners. Along the way, it skillfully provides an informative overview of modern financial markets as well as an engaging assessment of the methods used in deriving and back-testing trading strategies. Details the modern financial markets for equities, foreign exchange, and fixed income Addresses the basics of market dynamics, including statistical distributions and volatility of returns Offers a summary of approaches used in technical analysis and statistical arbitrage as well as a more detailed description of trading performance criteria and back-testing strategies Includes two appendices that support the main material in the bookIf you're unprepared to enter today's markets you will underperform. But with Financial Markets and Trading as your guide, you'll quickly discover what it takes to make it in this competitive field.
TL;DR: In this paper, the authors provide evidence for a significant relation between international financial markets' integration and output volatility in the framework of a threshold model, and empirically show that this relation depends on country's financial risk.
Abstract: This paper provides evidence for a significant relation between international financial markets' integration and output volatility. In the framework of a threshold model, it is shown empirically that this relation depends on country's financial risk. Financial risk indicates a country's ability to pay its official, commercial and trade debts. In countries with low financial risk, financial openness decreases output volatility, while, in countries with high financial risk, financial openness increases output volatility. Extensive robustness checks confirm this result.
TL;DR: In this article, the authors propose a post-sale market data collection system for smart devices and the like, where consumers are encouraged to submit post-sale market data in order to assist consumers in making purchasing decisions.
Abstract: A sale of a product or service may trigger a third party, such as a payment provider, to arrange for the collection of individual post-sale market data from the customer. Alternatively, such post-sale market data may be directly provided by smart devices and the like. Dependent upon the type of product or service involved, a schedule for continuously submitting post-sale market data for the product or service may be provided and the consumer may be encouraged to submit post-sale market data in accordance therewith through a variety of incentives. The received, individual, post-sale market data may be aggregated by one or more sources to determine aggregate post-sale market data for the product or service. The submitted individual data and/or the determined aggregate post-sale market data may then be provided to consumers in order to assist them in making purchasing decisions.
TL;DR: In this paper, the authors analyzed hourly market data for the period 2004-2010 and showed that extreme events were few, and the current infrastructure and market organisation have been able to handle the amount of wind power installed so far.