Liquidity connectedness in cryptocurrency market

We examine the dynamics of liquidity connectedness in the cryptocurrency market. We use the connectedness models of Diebold and Yilmaz (Int J Forecast 28(1):57–66, 2012) and Baruník and Křehlík (J Financ Econom 16(2):271–296, 2018) on a sample of six major cryptocurrencies, namely, Bitcoin (BTC), Litecoin (LTC), Ethereum (ETH), Ripple (XRP), Monero (XMR), and Dash. Our static analysis reveals a moderate liquidity connectedness among our sample cryptocurrencies, whereas BTC and LTC play a significant role in connectedness magnitude. A distinct liquidity cluster is observed for BTC, LTC, and XRP, and ETH, XMR, and Dash also form another distinct liquidity cluster. The frequency domain analysis reveals that liquidity connectedness is more pronounced in the short-run time horizon than the medium- and long-run time horizons. In the short run, BTC, LTC, and XRP are the leading contributor to liquidity shocks, whereas, in the long run, ETH assumes this role. Compared with the medium term, a tight liquidity clustering is found in the short and long terms. The time-varying analysis indicates that liquidity connectedness in the cryptocurrency market increases over time, pointing to the possible effect of rising demand and higher acceptability for this unique asset. Furthermore, more pronounced liquidity connectedness patterns are observed over the short and long run, reinforcing that liquidity connectedness in the cryptocurrency market is a phenomenon dependent on the time–frequency connectedness.

Corporate Social Responsibility and Firm Liquidity Risk: U.S. Evidence

In this study, we empirically investigate whether and to what extent corporate social responsibility (CSR) may affect firm liquidity risk. We define liquidity risk as the covariance between market-wide liquidity shocks and individual firms’ stock returns and employ two methods to estimate firm liquidity risk. We find a negative association between CSR and firm liquidity risk after controlling for various firm characteristics, i.e., year and industry fixed effects. Our results are robust to possible endogeneity issues when we adopt two-stage lease square estimator and dynamic GMM estimator. In addition, we document that the negative relation between CSR and firm liquidity risk is more pronounced when firms have higher reliance on external financing.

Impact of credit risk and profitability on liquidity shocks of Namibian banks: an application of the structural VAR model

The main purpose of this paper was to investigate the relationship between banks’ credit risk and profitability and liquidity shocks in Namibia for the period 2009 to 2018 using the SVAR model. In estimating the SVAR regression model, granger causality, impulse-response functions and forecast error variance decomposition were employed and evaluated. The sample consisted of Namibian commercial banks. By auditing liquidity data between 2009 and 2018, empirical results showed that liquidity risk is caused by a combination of structural shocks. The granger causality, impulse-response functions and forecast error variance decomposition documented that credit risk (non-performing loans) is key factor affecting liquidity conditions in Namibia in the medium to long run. In addition, the empirical results showed that quality earnings (ROA) have minimal impact on liquidity conditions in the short run. Reforming assets quality policies and earnings quality policies can be valuable policy tools to minimize liquidity shortages and avoid insolvent banks in Namibia.

How Do Shocks Arise and Spread Across Stock Markets? A Microstructure Perspective

We study intraday, market-wide shocks to stock prices, market liquidity, and trading activity on international stock markets and assess the relevance of recent theories on “liquidity dry-ups” in explaining such shocks. Market-wide price shocks are prevalent and large, with rapid spillovers across markets. However, price shocks are predominantly driven by information; they do not revert and are often associated with macroeconomic news. Furthermore, liquidity shocks are typically isolated and transitory. Overall, we find little evidence for liquidity effects fomenting price shocks or non-fundamental contagion, nor for alternative explanations. Market-wide liquidity dry-ups are thus of little concern to international investors. This paper was accepted by Karl Diether, finance.

Thy Neighbor’s Misfortune: Peer Effect on Consumption

Using a large, representative sample of credit and debit card transactions in Singapore, this paper studies the consumption response of individuals whose same-building neighbors experienced personal bankruptcy. The unique bankruptcy rules in Singapore suggest liquidity shocks drive personal bankruptcy decisions, leading to a substantial drop in consumption for the bankrupt. Peers’ monthly card consumption decreases by 3.4 percent over the 1-year postbankruptcy period. There exists no consumption decrease among individuals in immediately adjacent buildings nor for consumers with diminished postevent social ties with the bankrupt. The findings imply a significant social multiplier effect of 2.8 times the original consumption shock. (JEL E21, G51, K35)

International Real Estate Review

This paper is about investigating how different bank liquidity creation activities affect housing markets. Using data of 401 metropolitan statistical areas/metropolitan statistical area divisions (MSAs/MSADs) of the U.S. between 1990 and 2018, we show that not all bank liquidity creation activities boost the housing markets. In particular, unlike assetside and off- balance sheet liquidity creations, funding-side liquidity creation dampens housing markets. The relationships between liquidity creation activities and housing markets are stronger in regions with inelastic house supply, but flip when banks face external liquidity shocks. We also find that housing markets dominated by large banks are more sensitive to off-balance sheet liquidity creation activities. Finally, as expected, asset-side and off-balance sheet liquidity creations boost housing markets by driving house prices away from fundamental values. Our results offer a more thorough explanation of how bank liquidity creation fuels the momentum of housing markets.