Search

We provide new evidence on the effects of competition on incumbents' innovative behavior by examining the rise of FinTech start-ups over the period 2000-2016. We employ machine learning techniques to classify a large global sample of patent applications into five FinTech categories. We exploit the variation in the share of FinTech patent applications by non-financial startups to incumbent financial firms to measure competitive pressures from outside the financial industry. We show that higher competitive pressures from non-financial start-ups increases the probability that financial incumbents innovate. Moreover, competition from start-ups results in a higher number of FinTech patent applications by financial incumbents as compared to non-financial firms, especially when the innovations of FinTech start-ups are more important, as proxied by future patent citations count.

We study the effects of the US Federal Reserve's large-scale asset purchase programs during 2008-2014 on bank liquidity creation. Banks create liquidity when they transform the liquid reserves resulted from quantitative easing into illiquid assets. As the composition of banks' loan portfolio affects the amount of liquidity it creates, the impact of quantitative easing on liquidity creation is not a priori clear. Using a difference-in-difference identification strategy, we find that banks that were more exposed to the policy increased lending relative to a control group. However, while the increase in lending was present across all three rounds of quantitative easing, we only find a strong effect on liquidity creation during the last round. This points to a weaker impact of quantitative easing on the real economy during the first two rounds, when affected banks transformed the reserves created through the asset purchase program into less illiquid assets, such as real estate mortgages.

We design a laboratory experiment to test the importance of wealth as a channel for financial contagion across markets with unrelated fundamentals. Specifically, in a sequential global game, we analyze the decisions of a group of investors that hold assets in two markets. We consider two treatments that vary the level of diversification of these assets across markets, which allows us to disentangle the wealth effect from other sources of financial contagion. We provide evidence of contagion due to a wealth effect when investors have completely diversified portfolios. In this treatment, for certain ranges of fundamentals, we show that a coordination failure in the first market reduces investors' wealth, which makes them more likely to withdraw their investments in the second market, thereby increasing the probability of a crisis. Universitat Ramon Llull Generalitat de Catalunya Spanish Ministry of Science, Innovation and Universities

Using the 2008-09 Global financial crisis and the 2012 Euro area sovereign debt crisis as natural experiments, we investigate the effects of contractions in credit supply on R&D spending in a large sample of European firms. Our identification strategy exploits differences in financial constraints across firms, as well as the cross-industry variation in dependence on external finance, to identify a causal effect of bank credit supply on firm investment in innovation. We show that firms that are more likely financially constrained, in industries more dependent on external finance, have a disproportionally lower growth rate of R&D spending, as well as lower R&D intensity and share of R&D investment in total investment during periods of tight credit supply. These results are robust to different proxies of financial constraints, model specifications and fixed-effects identification strategies.

“Monetary policy independence remains of the highest importance, and it is important that we preserve monetary policy independence to help foster desirable macroeconomic outcomes and financial stability.” Stanley Fisher (November 2015) “The only problem our economy has is the Fed. They don’t have a feel for the market.” Donald Trump (December 2018) Prior to the global financial crisis, there had been much agreement about the optimal institutional design of monetary policy authorities. Economists and policy observers alike would have acknowledged that monetary policy is best left in the hands of independent central banks with a clear mandate of price stability. These inflation-targeting central banks were seen as the solution to the problem of high inflation and were credited with the period of great moderation that saw low levels of inflation and moderate output fluctuations (Alesina and Stella 2010). Ifo Institute for Economic Research, University of Munich

This paper proposes a new channel to explain the medium- to long-term effects of banking crises on the real economy. It embeds a banking sector prone to runs in a stylized growth model to show that episodes of bank distress affect not only the volume, but also the com- position of firm investment, by disproportionally decreasing investments in innovation. This hypothesis is confirmed empirically employing industry-level data on R&D spending around 13 recent banking crises episodes. Using difference-in-difference identification strategies, I show that industries that depend more on external finance, in more bank-based economies, invest disproportionally less in R&D following systemic banking crises. These industries also have a lower share of R&D spending in total investment, suggesting a shift in the composition of investment that is specific to recessions following banking crises and not other business cycle recessions.

This thesis consists of four essays on finance and the real economy. Chapter 1 studies the effect of banking crises on the composition of investment. It builds a partial equilibrium growth model with a banking sector and two types of investment projects: a safe, low return technology and an innovative, high productivity one. Investments in innovation are risky since they are subject to a liquidity cost which entrepreneurs cover by borrowing from the banking sector. When bank creditors are sufficiently pessimistic about the aggregate liquidity needs of the real sector, they will run on the bank and cause a credit freeze. This leads banks to tighten credit supply after the crisis, which decreases disproportionately investment in innovation and slows down economic growth. An empirical investigation, employing industry-level data on R&D investment around 13 recent banking crises, confirms this hypothesis. Industries that depend more on external finance, in more bank-based economies, invest disproportionately less in R&D following episodes of banking distress. These industries also have a relatively lower share of R&D in total investment, suggesting a shift in the composition of investment after the crisis. Such differential effects across sectors imply that the drop in R&D spending is, at least partially, the result of the contraction in credit supply.Chapter 2 studies the impact of coordination frictions in financial markets on the cost of capital. In the model, a financial intermediary seeks to raise funds to finance a risky capital-intensive project. Capital is owned by a large number of small investors, who observe noisy signals about the project's implementation cost. Employing a global games equilibrium refinement, we characterize a unique threshold equilibrium of the coordination game between investors. We then show that the relationship between the probability of success of the project and the rate of return on capital is non-monotonic. There exists a socially optimal price of capital, which maximizes the probability that the project is profitable. However, fee-maximizing intermediaries will generally set an interest rate that is higher than the socially optimal rate. The model best characterizes project finance investments funded through the bond market.Chapter 3 proposes a laboratory experiment to study the impact of partial deposit insurance schemes on the risk of deposit withdrawals. In the experiment, depositors decide whether to withdraw or leave their money in a bank, triggering a default when too many participants choose to withdraw. When a bank run occurs, the amount of wealth each depositor can recover depends on the number of withdrawals and a deposit insurance fund whose size cannot cover in full all depositors. We consider two treatments: (i) a perfect information case when depositors know the size of the insurance fund and (ii) a heterogeneous information setting when they only observe noisy signals about its size. Our results show that uncertainty about the level of deposit coverage exerts a significant impact on the propensity to run. The frequency of runs is relatively high in both treatments. A majority of subjects follow a threshold strategy consistent with a risk-dominant equilibrium selection. Finally, the last chapter re-examines the empirical relationship between financial and economic development while (i) taking into account their dynamics and (ii) differentiating between stock market and banking sector development. We study the cointegration and causality between finance and growth for 22 advanced economies. Our time series analysis suggests that the evidence in support of a finance-led growth is weak once we take into account the dynamics of financial and economic development. We show that, causality patterns depend on whether countries' financial development stems from the stock market or the banking sector.; This thesis consists of four essays on finance and the real economy. Chapter 1 studies the effect of banking crises on the composition of investment. It builds a partial equilibrium growth model with a banking sector and two types of investment projects: a safe, low return technology and an innovative, high productivity one. Investments in innovation are risky since they are subject to a liquidity cost which entrepreneurs cover by borrowing from the banking sector. When bank creditors are sufficiently pessimistic about the aggregate liquidity needs of the real sector, they will run on the bank and cause a credit freeze. This leads banks to tighten credit supply after the crisis, which decreases disproportionately investment in innovation and slows down economic growth. An empirical investigation, employing industry-level data on R&D investment around 13 recent banking crises, confirms this hypothesis. Industries that depend more on external finance, in more bank-based economies, invest disproportionately less in R&D following episodes of banking distress. These industries also have a relatively lower share of R&D in total investment, suggesting a shift in the composition of investment after the crisis. Such differential effects across sectors imply that the drop in R&D spending is, at least partially, the result of the contraction in credit supply.Chapter 2 studies the impact of coordination frictions in financial markets on the cost of capital. In the model, a financial intermediary seeks to raise funds to finance a risky capital-intensive project. Capital is owned by a large number of small investors, who observe noisy signals about the project's implementation cost. Employing a global games equilibrium refinement, we characterize a unique threshold equilibrium of the coordination game between investors. We then show that the relationship between the probability of success of the project and the rate of return on capital is non-monotonic. There exists a socially optimal price of capital, which maximizes the probability that the project is profitable. However, fee-maximizing intermediaries will generally set an interest rate that is higher than the socially optimal rate. The model best characterizes project finance investments funded through the bond market.Chapter 3 proposes a laboratory experiment to study the impact of partial deposit insurance schemes on the risk of deposit withdrawals. In the experiment, depositors decide whether to withdraw or leave their money in a bank, triggering a default when too many participants choose to withdraw. When a bank run occurs, the amount of wealth each depositor can recover depends on the number of withdrawals and a deposit insurance fund whose size cannot cover in full all depositors. We consider two treatments: (i) a perfect information case when depositors know the size of the insurance fund and (ii) a heterogeneous information setting when they only observe noisy signals about its size. Our results show that uncertainty about the level of deposit coverage exerts a significant impact on the propensity to run. The frequency of runs is relatively high in both treatments. A majority of subjects follow a threshold strategy consistent with a risk-dominant equilibrium selection. Finally, the last chapter re-examines the empirical relationship between financial and economic development while (i) taking into account their dynamics and (ii) differentiating between stock market and banking sector development. We study the cointegration and causality between finance and growth for 22 advanced economies. Our time series analysis suggests that the evidence in support of a finance-led growth is weak once we take into account the dynamics of financial and economic development. We show that, causality patterns depend on whether countries' financial development stems from the stock market or the banking sector.

This thesis consists of four essays on finance and the real economy. Chapter 1 studies the effect of banking crises on the composition of investment. It builds a partial equilibrium growth model with a banking sector and two types of investment projects: a safe, low return technology and an innovative, high productivity one. Investments in innovation are risky since they are subject to a liquidity cost which entrepreneurs cover by borrowing from the banking sector. When bank creditors are sufficiently pessimistic about the aggregate liquidity needs of the real sector, they will run on the bank and cause a credit freeze. This leads banks to tighten credit supply after the crisis, which decreases disproportionately investment in innovation and slows down economic growth. An empirical investigation, employing industry-level data on R&D investment around 13 recent banking crises, confirms this hypothesis. Industries that depend more on external finance, in more bank-based economies, invest disproportionately less in R&D following episodes of banking distress. These industries also have a relatively lower share of R&D in total investment, suggesting a shift in the composition of investment after the crisis. Such differential effects across sectors imply that the drop in R&D spending is, at least partially, the result of the contraction in credit supply.Chapter 2 studies the impact of coordination frictions in financial markets on the cost of capital. In the model, a financial intermediary seeks to raise funds to finance a risky capital-intensive project. Capital is owned by a large number of small investors, who observe noisy signals about the project's implementation cost. Employing a global games equilibrium refinement, we characterize a unique threshold equilibrium of the coordination game between investors. We then show that the relationship between the probability of success of the project and the rate of return on capital is non-monotonic. There exists a socially optimal price of capital, which maximizes the probability that the project is profitable. However, fee-maximizing intermediaries will generally set an interest rate that is higher than the socially optimal rate. The model best characterizes project finance investments funded through the bond market.Chapter 3 proposes a laboratory experiment to study the impact of partial deposit insurance schemes on the risk of deposit withdrawals. In the experiment, depositors decide whether to withdraw or leave their money in a bank, triggering a default when too many participants choose to withdraw. When a bank run occurs, the amount of wealth each depositor can recover depends on the number of withdrawals and a deposit insurance fund whose size cannot cover in full all depositors. We consider two treatments: (i) a perfect information case when depositors know the size of the insurance fund and (ii) a heterogeneous information setting when they only observe noisy signals about its size. Our results show that uncertainty about the level of deposit coverage exerts a significant impact on the propensity to run. The frequency of runs is relatively high in both treatments. A majority of subjects follow a threshold strategy consistent with a risk-dominant equilibrium selection. Finally, the last chapter re-examines the empirical relationship between financial and economic development while (i) taking into account their dynamics and (ii) differentiating between stock market and banking sector development. We study the cointegration and causality between finance and growth for 22 advanced economies. Our time series analysis suggests that the evidence in support of a finance-led growth is weak once we take into account the dynamics of financial and economic development. We show that, causality patterns depend on whether countries' financial development stems from the stock market or the banking sector.

This paper analyzes how banks' funding constraints impact the access and cost of capital of small firms. Banks raise external finance from a large number of small investors who face co-ordination problems and invest in small, risky businesses. When investors observe noisy signals about the true implementation cost of real sector projects, the model can be solved for a threshold equilibrium in the classical global games approach. We show that a "socially optimal" interest rate that maximizes the probability of success of the small firm is higher than the risk-free rate, because higher interest rates relax the bank's funding constraint. However, banks will generally set an interest rate higher than this socially optimal one. This gives rise to a built-in inefficiency of banking intermediation activity that can be corrected by various policy measures.