The paper analyzes the effects of informational asymmetries on the market structure of the banking industry in a multi-period model of spatial competition. All lenders face uncertainty with regard to borrowers’ creditworthiness, but, in the process of lending, incumbent banks gather proprietary information about their clients, acquiring an advantage over potential entrants. These informational asymmetries are an important determinant of the industry structure and may represent a barrier to entry for new banks. The paper shows that, in contrast with traditional models of horizontal differentiation, the steady-state equilibrium is characterized by a finite number of banks even in the absence of fixed costs.
In credit markets, asymmetric information problems arise when borrowers have private information about their creditworthiness that is not observable by lenders. If these informational asymmetries do not negatively affect lenders' profitability, then they are irrelevant to lenders.
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as Google, Apple, Amazon and PayPal whilst facing pressure from investors to reduce costs, increase agility and improve customer retention. Technologies such as blockchain, cloud computing, mobile technologies, big data analytics and social media therefore have perhaps more potential in this industry and area of business than any other. This book defines a fintech ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research and offering perspectives from business, technology and industry.
This thesis consists of three essays on international finance. The first essay is "Exchange rates and Fundamentals". A new open interest rate parity condition that takes account of economic fundamentals is developed from stochastic discount factors (SDFs) of two countries. Through this parity condition, business cycles or fundamentals are linked to exchange rates. Key empirical findings from this parity condition are as follows. First, this model beats the random walk hypothesis: economic fundamentals explain exchange rate movements for high interest rate currencies. Exchange rates of low interest rate currencies act like a random walk because they are less correlated with fundamentals owing to their low risk. For example, U.S. business cycles explain the direction of changes in exchange rates against the dollar. The same thing is true for Japan. Second, this model resolves the forward premium puzzle: the forward premium puzzle is not a general characteristic as regarded in previous studies. It happens when the risk awareness of investors is low, during economic expansions and for low risk currencies. The second essay is "Carry Trade and Global Financial Instability". Carry trade, an opportunistic investment strategy that takes advantage of interest rate differential across countries, is identified the cause of the large-scale depreciations of peripheral currencies in the later half of 2008. A simultaneous equations model, which is derived from a conceptual partial equilibrium model for a local foreign exchange market, is estimated from a cross-sectional sample. The results suggest that the larger appreciation of the yen than the dollar was brought about by a lack of the local supply of the yen rather than a more severe crunch of yen credits. The third essay is "The Economic Origin of Letters of Credit". This essay discusses the economic origin of letters of credit, an instrument widely used in international trade. A game theoretical analysis shows that letters of credit improve efficiency in trade settlements, increasing returns in trade. A few notable facts on letters of credit are discussed. First, the new institution is adopted by merchant banks to maximize their profits and in the process, an improvement in efficiency of international transactions is obtained. Second, the organization established by the legacy institution, bills of exchange, played a critical role in adopting the new institution. Third, the legal enforcement is not essential in this economic institution. Finally, two drivers are identified that improve efficiency of transactions: concentration and projection.
This paper reviews the literature on financial crises focusing on three specific aspects. First, what are the main factors explaining financial crises? Since many theories on the sources of financial crises highlight the importance of sharp fluctuations in asset and credit markets, the paper briefly reviews theoretical and empirical studies on developments in these markets around financial crises. Second, what are the major types of financial crises? The paper focuses on the main theoretical and empirical explanations of four types of financial crises—currency crises, sudden stops, debt crises, and banking crises—and presents a survey of the literature that attempts to identify these episodes. Third, what are the real and financial sector implications of crises? The paper briefly reviews the short- and medium-run implications of crises for the real economy and financial sector. It concludes with a summary of the main lessons from the literature and future research directions.
