This paper does three things. First, it explores the type of asymmetry in exchange rate correlation for five inflation-targeting countries. We show their currencies co-move more closely with the currencies of some influential foreign countries during joint appreciations than joint depreciations against a world currency. Second, it establishes empirically the linkage between interest rate differentials and exchange rate correlation. We find evidence that both widening and narrowing interest rate differentials will reduce the correlation. Third, it proposes a new version of the asymmetric dynamic conditional correlation model. The model proves to be capable of providing great insight into the two issues investigated.

Using the staggered adoption of collateral law reforms across Europe, we examine their effects on trade credit financing. We find that firms in countries that adopt such reforms receive less trade credit, consistent with suppliers viewing these firms as less creditworthy. Moreover, this decrease in trade credit is more pronounced for firms and industries with more movable assets, for financially constrained firms, and for firms in countries with strong legal enforcement, indicating that collateralization of movable assets drives this relation. Our findings suggest that the use of movable assets as collateral in bank borrowing increases supplier risks and decreases demand for trade credit, thus discouraging its use.

We investigate the impacts of policy and information shocks on the correlation of China’s T-bond and stock returns, using originally the asymmetric dynamic conditional correlation (DCC) model that allows for the coexistence of opposite-signed asymmetries. The co-movements of China’s capital markets react to large macroeconomic policy shocks as evidenced by structural breaks in the correlation following the drastic 2004 macroeconomic austerity. We show that the T-bond market and the bond–stock correlations bear more of the brunt of the macroeconomic contractions. We also find that the bond–stock correlations respond more strongly to joint negative than joint positive shocks, implying that investors tend to move both the T-bond and stock prices in the same direction when the two asset classes have been hit concurrently by bad news, but tend to shift funds from one asset class to the other when hit concurrently by good news. However, the stock–stock correlation is found to increase for joint positive shocks, indicating that investors tend to herd more for joint bullish than joint bearish stock markets in Shanghai and Shenzhen.

We investigate the effect of mandatory IFRS adoption on trade credit. We document that firms in countries that adopt IFRS receive more trade credit from their suppliers, consistent with improved financial reporting quality and comparability playing a role in facilitating informal financing. This increase is larger for countries with a low level of societal trust, a poor pre‐IFRS‐adoption information environment, and stronger legal enforcement. These cross‐sectional results suggest that the conditions under which higher‐quality information is made publicly available affect suppliers' decisions to provide trade credit. This increase is also larger for firms with greater exposure to foreign markets, a finding that highlights the importance of more comparable international financial reporting standards in facilitating cross‐country trade credit. We also find that IFRS adoption has a stronger positive effect on trade credit for firms with greater liquidity needs. Finally, we find that firms in countries that adopt IFRS also extend more trade credit to their customers. Overall, our results support the notion that financial reporting can have a causal effect on trade credit.

This study explores how the violation of free short selling assumption affects the performance of CAPM and the Fama-French three-factor model, as existing studies show that short-sales constraints affect asset pricing of the stocks. Using data from the Hong Kong Stock Market which has unique regulations on short selling, we conduct both time-series and cross-sectional regression analyses to evaluate the performance of the two models under the short-sales-constraints and the no-constraints market environment. The two models perform much worse in the former environment than in the latter, indicating a significant impact of the short sales constraints on the explanatory power of the models. We then augment the two models with a shortability-mimicking factor. Our results show that the factor has a significant power in explaining both time-series and cross-sectional variation in the size-B/M portfolio returns. The addition of the factor to the two models considerably increases their overall performance.

We examine the impact on a firm when it is forced to switch its bank relationship from one branch to another branch of the same bank, and how the firm’s information opacity (as proxied by the frequency with which the firm provides financial statements to the bank) moderates the consequences of relationship loss. We find the effect depends on the relative balance between the hard accounting information provided to the bank and the soft information about the firm due to its prior branch relationship. We show the loss of soft information provided to loan officers at the new branch, as a result of the forced branch switch, has a significant effect on the cost, maturity, and availability of loans from the new branch. Furthermore, we document the moderating effect of accounting information opacity on loan conditions upon relationship loss.