Short Sale Constraints and Single Stock Futures Introductions

This paper exploits the unique experimental setting created by nearly 1,300 new single stock futures listings on the OneChicago exchange between 2003 and 2009. I investigate the impact of derivatives introductions on the tightness of short sale constraints facing their underlying assets. After controlling explicitly for supply and demand conditions in the stock lending market, this experiment reveals a precipitous decline in active utilization rates and loan fees in the lending market, after the futures introductions. The paper provides strong evidence that supports the view that derivatives represent a viable alternate synthetic short selling venue relaxing short sale constraints facing their underlying assets.     

The Effects of Stock Lending on Security Prices: An Experiment

We examine the impact of short selling by conducting a randomized stock lending experiment. Working with a large, anonymous money manager, we create an exogenous and sizeable shock to the supply of lendable shares by taking high loan fee stocks in the manager's portfolio and randomly making available and withholding stocks from the lending market. The experiment ran in two independent phases: the first, from September 5 to 18, 2008, with over $580 million of securities lent, and the second, from June 5 to September 30, 2009, with over $250 million of securities lent. While the supply shocks significantly reduce market lending fees and raise quantities, we find no evidence that returns, volatility, skewness, or bid–ask spreads are affected. The results provide novel evidence on the impact of shorting supply and do not indicate any adverse effects on stock prices from securities lending.     

Why do small businesses have difficulty in accessing bank financing?

This study investigates bank financing to small and medium-size enterprises (SMEs) and evaluates whether the difficulties of SMEs in accessing bank financing during a period of financial crisis are due to a reduction in the supply of credit, or to a decrease in the demand for credit. The results show that the macroeconomic setting matters: demand effects are unlikely to drive the decline in the stock of bank loans, while the supply of credit causes SMEs difficulties in accessing bank credit. During a crisis period, in particular, an increase in the risk of lenders leads to the reduced supply of credit and credit rationing (i.e. the bank lending channel). In a post-crisis period, SMEs with increased risk and decreased profits have great difficulties in securing bank loans (i.e. the borrower balance sheet channel). Taken together, these results suggest that supply effects initially emerge through the bank-lending channel and then shift to the borrower balance sheet channel over a period of financial crisis.     

Monetary policy and bank lending in the Euro area: Is there a stock market channel or an interest rate channel?

In this paper I compare a traditional demand oriented model of bank lending with its focus on short-term interest rates in the money market, to a non-traditional capital budgeting model of bank lending based on movements in share valuations for the Euro area. Using non-nested hypothesis tests, omitted variables tests, and Granger Causality tests, I reject the traditional demand oriented model of bank lending and fail to reject the capital budgeting model of bank lending for Monetary Financial Institutions (MFI's) in the Euro area. Even though Europe is a bank-based financial system, it appears the stock market plays a key role in the lending decisions and allocation of resources in Europe. One possible policy implication of this research is that the central bank should try and stabilize stock prices in order to achieve their goal of stabilizing bank lending and the economy.     

Stock Crashes and Jumps Reactions to Information Demand and Supply: An Intraday Analysis

The objective of this paper is to examine the possible linkage between the intraday stock price crashes and jumps and public information by using data from the Chinese stock market and Baidu Index. We divided public information into two kinds of information: supply through online media and information demand across inquiries by individual investors. Using a large sample from Chinese listed firms from 2013 to 2019, our evidence clearly indicates that online information supply and demand both have a positive impact on the intraday crashes and jumps; this is, the firm with higher information supply and demand more likely to experience intraday crashes and jumps. The results are robust to an alternative measure of crash risk. Moreover, we further examine whether the market conditions have an impact on the relationship between information flow and intraday crashes and jumps, and find that the marginal effect of information supply on intraday price crashes and jumps is smaller in the bull market phase. Moreover, the bull market phase enhances the effect of information demand on intraday price crashes and jumps.

     

Does competition influence the bank lending channel in the euro area?

This paper examines how competition influences the bank lending channel in the euro area countries. Using a large panel of banks from 12 euro area countries for the period 2002–2010 we analyze the reaction of loan supply to monetary policy actions depending on the degree of bank competition. We find that the effect of monetary policy on bank lending is dependent on bank competition: the transmission of monetary policy via the bank lending channel is less pronounced for banks with extensive market power. Further investigation shows that banks with less market power were more sensitive to monetary policy only before the financial crisis. These results suggest that bank market power has a significant impact on the effectiveness of monetary policy. Therefore, wide variations in the level of bank market power may lead to asymmetric effects of the single monetary policy.     

Equity market and the transmission channels of monetary policy: Before and after the zero lower bound

We examine the effectiveness of the interest rate channel and the credit channel of monetary policy before and after the zero lower bound (ZLB), using intraday stock returns. We construct a number of industry-specific and firm-specific indicators to capture the sensitivity of firms' demand to interest rates (interest rate channel) and firms' financial constraints (credit channel). We find that the transmission of monetary policy has shifted across both periods. Conventional monetary policy works through both the neoclassical interest rate channel and the credit channel, while unconventional policy is propagated primarily via the credit channel which became even more effective at the ZLB. Before the ZLB the transmission channels operate primarily through target rate shocks rather than forward guidance announcements, whereas both forward guidance and large scale asset purchases were equally important for the credit channel at the ZLB. We also find strong evidence that transmission channels are asymmetric depending on the state of the stock market (bull/bear, tighter/easier credit conditions, high/low volatility), and the type of policy surprises (positive/negative). Our findings are robust with respect to a number of model extensions and alternative specifications.     

The use of open source internet to analysis and predict stock market trading volume

The objective of this paper is to evaluate the impact of information demand and supply on stock market trading volume. Few studies have demonstrated the role of Google search data in analyzing trading volume activity. In this study, we employ a proxy for information demand which is derived from weekly internet search volume. The latest is from Google Trends database, for 25 of the largest stocks traded on CAC40 index, between April 2007 and March 2014. We use news headlines as a proxy for information supply. We use Garch model to analyze and predict trading volume.The empirical results present new evidences. First, information supply has an impact on trading volume but information demand's impact is much more important. Secondly, by applying MCA to results found, it could be concluded that the impact of public information on transaction volume is conditioned by two elements: the firm and market news disclosure and the second element relates to the characteristics of the market participants, more precisely their news interpretations and their risk aversion. Thirdly, we used Chow structural break test to verify the stability of our model. We found that for securities with structural changes, information demand is the responsible variable of the change in our model. Finally, we found that information variables have a predictive power on transaction volume.This paper contributes to existing literature by incorporating open source internet-based data into the analysis and prediction of transaction volume. Using internet information about the stock market, which has appeared recently as an interesting research for financial empiricists, computer scientists and practitioners, will have a very important utility because quantifying demand and supply of information becomes possible.     

A Search-Based Theory of the On-the-Run Phenomenon

We propose a model in which assets with identical cash flows can trade at different prices. Infinitely lived agents can establish long positions in a search spot market, or short positions by first borrowing an asset in a search repo market. We show that short-sellers can endogenously concentrate in one asset because of search externalities and the constraint that they must deliver the asset they borrowed. That asset enjoys greater liquidity, a higher lending fee ("specialness"), and trades at a premium consistent with no-arbitrage. We derive closed-form solutions for small frictions, and provide a calibration generating realistic on-the-run premia.     

More than meets the eye: Convertible bond issuers' concurrent transactions

We document that, in recent years, over 60% of convertible bond issuers conduct concurrent transactions including share repurchases, call option purchases, warrant sales, seasoned equity offerings, and stock lending program initiations. We investigate the determinants of issuers' choice of concurrent transactions and find that a proxy for capital supply (flows to convertible bond arbitrage hedge funds) is a significant determinant. Option purchases are more likely when capital supply is low and the convertible is dilutive to earnings. SEOs are more likely when firms have valuable growth opportunities and capital supply is low. Convertible issuers establish lending programs when arbitrageurs likely encounter difficulty shorting their stock, suggesting that these firms facilitate short selling in their own stock. These results suggest that, in the convertible bond market, the influence of capital supply extends beyond the issuance decision to the use of concurrent transactions and that these transactions offer important flexibility to issuers. We find that average equity market announcement effects differ when issuers conduct concurrent transactions. Consistent with models of adverse selection, concurrent transactions that reduce the dilutive impact on earnings, thereby making the design more debt-like, are associated with less negative announcement effects. Conversely, concurrent transactions that increase the dilutive impact on earnings, thereby making the design more equity-like, are associated with more negative announcement effects.     

Asymmetric Impact of Oil Price Shock on Stock Market in China: A Combination Analysis Based on SVAR Model and NARDL Model

This article integrates the SVAR model and nonlinear ARDL (NARDL) model to analyze the long-run and short-run asymmetric effect of structural oil price shocks on the Chinese stock market. We reveal that the demand-side shocks of oil price have a significant impact on the Chinese stock market in both short and long run, but the supply shock is an exception. In terms of asymmetric nature, there is no evidence of asymmetric impact when it refers to the supply shock and the oil-specific demand shock on stock market, and only the aggregate demand shock has asymmetric effect in short run.     

Identification of a loan supply function: A cross-country test for the existence of a bank lending channel

Using the theoretical predictions of the Bernanke–Blinder [Bernanke, B.S., Blinder, A.S., 1988. Is it money or credit or both or neither? Credit, money, and aggregate demand. American Economic Review 78, 435–459] model, we seek to examine the existence of a bank lending channel through the empirical identification of a loan supply function and to assess the impact of differential bank characteristics on banks’ ability to supply loans. To this end, we estimate a loan supply model and test for the restrictions implied by perfect substitutability between loans and bonds in bank portfolios. Estimations are carried out on bank panel data for six OECD countries, the results showing that a bank lending channel is at work in only two of them. Moreover, we find that the relevance of bank characteristics is hardly a decisive factor in the identification of a loan supply function.     

Supply and Demand Shifts in the Shorting Market

Using proprietary data on stock loan fees and quantities from a large institutional investor, we examine the link between the shorting market and stock prices. Employing a unique identification strategy, we isolate shifts in the supply and demand for shorting. We find that shorting demand is an important predictor of future stock returns: An increase in shorting demand leads to negative abnormal returns of 2.98% in the following month. Second, we show that our results are stronger in environments with less public information flow, suggesting that the shorting market is an important mechanism for private information revelation.     

The Real Effects of Asset Market Bubbles: Loan- and Firm-Level Evidence of a Lending Channel

This article studies how a shock to the financial health ofbanks, caused by a decline in the asset markets, affects thereal economy. The land market collapse in Japan provides anideal testing field in separating the impact of a loan supplyshock from demand shocks. I find that banks with greater realestate exposure have to reduce lending. Firms' investment andmarket valuation are negatively associated with their top lender'sreal estate exposure. The lending channel is economically important:it accounts for one-third of lending contraction, one-fifthof the decline in investment, and a quarter of value loss.     

The Impact of Oil Price Shocks on the Returns in China’s Stock Market

The main goal of this paper is to study the relationship between oil price shocks and mainland China’s stock market. From empirical study, we have found that the impact of oil price shocks on stock prices in China has been mixed. In contrast to the conventional wisdom that higher oil prices may cause lower stock prices, positive shocks to oil-market-specific demand resulted in both higher real oil prices and higher stock prices, which helps explain the boom of the Chinese stock market as oil prices were increasing in 2007. However, global oil demand and supply shocks had no significant effects.     

Oil shocks and stock markets: Dynamic connectedness under the prism of recent geopolitical and economic unrest

In this study we examine the dynamic structural relationship between oil price shocks and stock market returns or volatility for a sample of both net oil–exporting and net oil–importing countries between 1995:09 and 2013:07. We accomplish that, by extending the Diebold and Yilmaz (2014) dynamic connectedness measure using structural forecast error variance decomposition. The results for both stock market returns and volatility suggest that connectedness varies across different time periods, and that this time–varying character is aligned with certain developments that take place in the global economy. In particular, aggregate demand shocks appear to act as the main transmitters of shocks to stock markets during periods characterised by economic–driven events, while supply–side and oil–specific demand shocks during periods of geopolitical unrest. Furthermore, differences regarding the directions and the strength of connectedness can be reported both between and within the net oil–importing and net oil–exporting countries. These results are of particular importance to investors and portfolio managers, given the recent financialisation of the oil market.     

The medium is the message: Learning channels,financial literacy,and stock market participation

This paper investigates the effects of learning channels on stock market participation. More specifically, we investigate the direct effects of learning about financial matters from one's private network, financial advisors, and the media, as well as the moderating effects of financial literacy on the relationship between learning from these channels and stock market participation. Analyzing a unique cross-section data that combine survey data and bank register data on individual retail investors, we find that media is the only learning channel that increases the likelihood of owning stocks and the portfolio share invested in stocks. We also find that financial literacy has a significant moderating effect: Interactions point to the joint importance of learning from media and financial literacy for individuals' stock market participation. Our findings suggest implications to policymakers when designing financial education programs.     

Well-connected short-sellers pay lower loan fees: A market-wide analysis

High loan fees generate short-selling constraints and, therefore, reduce price efficiency. Despite the importance of loan fees, empirical evidence on their determinants is scarce. Using a market-wide deal-by-deal data set on the Brazilian equity lending market which uniquely identifies borrowers, brokers, and lenders, we are able to construct a proxy of search costs at the borrower–stock–day level. We find that—for the same stock, on the same day—borrowers with higher search costs pay significantly higher loan fees. Our results suggest that regulators should encourage the use of a centralized lending platform to reduce search costs in the lending market.     

Economic Consequences of Transparency Regulation: Evidence from Bank Mortgage Lending

We examine the economic consequences of a rule designed to improve consumers' understanding of mortgage information. The 2015 TILA-RESPA Integrated Disclosures rule (TRID) simplifies the mortgage disclosures provided to consumers. As a consequence, TRID-affected mortgages become a less attractive investment opportunity to banks. Our main results document that mortgage applications affected by TRID are less likely to be approved following the rule's effective date. We find evidence consistent with both a decrease in consumers' information processing costs and an increase in banks' secondary market frictions, providing insight into the potential channels through which this reduction in mortgage credit operates. We also find that banks partially compensate for reduced mortgage lending by increasing small business lending, and that fintechs absorb mortgage demand in areas with reduced mortgage lending by banks. Our study documents real actions that firms take in response to disclosure transparency regulation and contributes to the literature on the economic consequences of such regulation.     

Oil price shocks and the US stock market: A nonlinear approach

We study the response of US stock market returns to oil price shocks and to what extent it behaves asymmetrically over the different phases of the business cycle. For this purpose, we decompose the oil price changes into supply and demand shocks in the oil market and assess the state-dependent dynamics of structural shocks on US stock returns using a smooth transition vector autoregression model. When nonlinearity is considered, quantitatively very different asymmetric dynamics are observed. Our findings show that the responses of US stock returns to disaggregated shocks are asymmetric over the business cycle and that the impact of demand-driven shocks on US stock returns is stronger and more persistent, especially when economic activity is depressed. Furthermore, the contribution of shocks to expectation-driven precautionary demand in recessions accounts for a larger share of the variability of US stock market returns than that predicted by standard linear vector autoregressions.