The euro area stock market channel: Does one size fit all?

This paper analyzes the first part of the stock market channel of monetary policy in the euro area. We find heterogeneous reactions of euro area stock markets to unexpected ECB’s interest rate decisions. Splitting all markets into two groups, covering the stock markets reacting significantly to monetary policy shocks and the ones which do not, each sub-group reveals a higher degree of homogeneity. Interestingly, the markets, which react significantly to unexpected interest rate decisions are the markets with the highest stock market capitalization. In general, we find ECB’s decisions to be well anticipated by stock markets.     

Explaining when developing countries liberalize their financial equity markets

This paper is the first to explain when countries opened their financial equity markets and is the first to explain financial liberalization using a large sample of developing countries. We test several novel hypotheses. We find that equity markets are opened earlier in countries that trade more with developed countries and that have more developed financial markets. Equity markets are opened earlier in democracies, especially if the country's leader is a civilian. Our other findings are consistent with the literature, which has found greater financial market openness in countries receiving more FDI, in richer countries, and in democracies.     

Deposit insurance and money market freezes

In the presence of deposit insurance, a rise in counterparty risk may cause a freeze in interbank money markets. We show this in a general equilibrium model with regionally segmented bank-based retail financial markets, in which money markets facilitate the reallocation of funds across banks from different regions. Counterparty risk creates an asymmetry between banks in savings-rich regions, which remain marginally financed by the abundant regional insured deposits, and in savings-poor regions, which have to pay large spreads in money markets. This asymmetry distorts the aggregate allocation of credit and, in the presence of demand externalities, can cause large output losses.     

Option Volume and Stock Prices: Evidence on Where Informed Traders Trade

This paper investigates the informational role of transactions volume in options markets. We develop an asymmetric information model in which informed traders may trade in option or equity markets. We show conditions under which informed traders trade options, and we investigate the implications of this for the linkage between markets. Our model predicts an important informational role for the volume of particular types of option trades. We empirically test our model's hypotheses with intraday option data. Our main empirical result is that negative and positive option volumes contain information about future stock prices.     

The Informational Efficiency of the Equity Market As Compared to the Syndicated Bank Loan Market

The loan market is a hybrid between a public and a private market, comprised of financial institutions with access to private information about borrowing firms. We test whether this is reflected in informationally efficient price formation in the loan market vis-a-vis the equity markets, and reject this private information hypothesis. We also reject a liquidity hypothesis which suggests that equity markets always lead loan markets, despite bank lenders' access to private information, because of greater liquidity in equity markets. We further test, and reject, an asymmetric price reaction hypothesis that states that loan returns are more sensitive to negative information whereas equity returns respond symmetrically to both positive and negative information. We find evidence most consistent with an integrated markets hypothesis that suggests that both the equity and syndicated bank loan markets are highly integrated such that information flows freely across markets. This is particularly true when the equity market makers are also loan syndicate members.      

Interconnected multilayer networks: Quantifying connectedness among global stock and foreign exchange markets

This paper proposes a novel interconnected multilayer network framework based on variance decomposition and block aggregation technique, which can be further served as a tool of linking and measuring cross-market and within-market contagion. We apply it to quantifying connectedness among global stock and foreign exchange (forex) markets, and demonstrate that measuring volatility spillovers of both stock and forex markets simultaneously could support a more comprehensive view for financial risk contagion. We find that (i) stock markets transmit the larger spillovers to forex markets, (ii) the French stock market is the largest risk transmitter in multilayer networks, while some Asian stock markets and most forex markets are net risk receivers, and (iii) interconnected multilayer networks could signal the financial instability during the global financial crisis and the COVID-19 crisis. Our work provides a new perspective and method for studying the cross-market risk contagion.     

Flight-to-quality and correlation between currency and stock returns

We document that capital flows in and out of emerging or developed markets are sensitive to global equity market conditions. Capital tends to move out of emerging into developed countries in global down markets, leading to depreciation (appreciation) of emerging (developed) currencies. This generates a positive (negative) correlation between currency and equity in emerging (developed) markets which is amplified by the magnitude of the capital movement. We also verify that hedging currency risks may undo the natural hedge and increase the total return volatility under negative correlation.     

Product Market Competition, Insider Trading, and Stock Market Efficiency

How does competition in firms' product markets influence their behavior in equity markets? Do product market imperfections spread to equity markets? We examine these questions in a noisy rational expectations model in which firms operate under monopolistic competition while their shares trade in perfectly competitive markets. Firms use their monopoly power to pass on shocks to customers, thereby insulating their profits. This encourages stock trading, expedites the capitalization of private information into stock prices and improves the allocation of capital. Several implications are derived and tested.     

International Banking and Liquidity Allocation

This paper explores the comparative advantage of multinational banking over cross-border financial services in terms of capitalizing on a global access to funding sources. We argue that this advantage depends on the benefit and the cost of multinational banks’ intimacy with local markets. The benefit is that it allows multinational banks to create more liquidity. The cost is that it causes inefficiencies in internal capital markets, on which a bank relies to allocate liquidity across countries. We analyze the conditions under which multinational banking is then likely to arise and show that capital requirements have an effect as they influence the degree of inefficiency in internal capital markets for alternative organization structures differently.     

Empirical estimation of tail dependence using copulas: application to Asian markets

This paper introduces non-parametric estimators for upper and lower tail dependence whose confidence intervals are obtained with a bootstrap method. We call these estimators ‘naïve estimators’ as they represent a discretization of Joe's formulae linking copulas to tail dependence. We apply the methodology to an empirical data set composed of three composite indexes for the three Tigers (Thailand, Malaysia and Indonesia). The extremes show a dependence structure which is symmetric for the Thai and Malaysian markets and asymmetric for the Thai and Indonesian markets and for the Malaysian and the Indonesian markets. Using these results we estimate the copula (which belongs to the Student or Archimedean copula families) for each pair of markets by two methods. Finally, we provide risk measurements using the best copula associated with each pair of markets.