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The purpose of this paper is to provide some rational perspectives for the flight‐to‐liquidity event rather than simply attributing it to the change in investor sentiment.

The paper builds a model to highlight the inherent difference in investors' investment horizon, and thus their sensitivity to changes in transaction costs in the stock and bond markets. When stock market deterioration results in higher trading costs, the existing marginal investor shifts wealth to bonds instead of remaining indifferent between stocks and bonds. At the new equilibrium, there is a higher fraction of bond ownership and a longer average investment horizon among stock holders. The paper then empirically tests the model predictions using data in the US stock and bond markets.

The authors find evidence strongly supporting this paper's theoretical predictions. Days with high stock illiquidity, high stock volatility and low stock return are associated with high yield spread in the bond market. This contemporaneous linkage between the stock market and the bond market is even stronger during periods with strong net outflows from stock mutual funds and strong net inflows to money market funds. The paper also demonstrates the existence of a maturity pattern that the predicted effects, especially the effects of stock illiquidity, are much stronger over shorter maturities.

The finding of this model that the investment horizon of the marginal investor (and thus the equilibrium price impact in the bond market) responds to changes in market conditions contributes to the theoretical debate on whether transaction costs matter. The flow evidence strengthens our understanding of the asset pricing implications of portfolio rebalancing decisions, and the maturity effect bolsters the case for flights to liquidity/quality due to heterogeneity in investment horizon without resorting to investor irrationality or behavioral attributes. In fact, it is arguably difficult to reconcile with a behavioral explanation.

This study aims to investigate the existence of contagion between liquid and illiquid assets in the credit default swap (CDS) market around the recent financial crisis. The authors perform analyses based on vector autoregression model and the dynamic conditional correlation model. The estimation of vector autoregression models reveals that changes in liquid CDS (LCDS) spreads lead to changes in illiquid CDS spreads at least one week ahead during the financial crisis period, whereas the leading direction is reversed during the post-crisis period. Moreover, the results are robust after controlling for structural variables which are proven as determinants of CDS spreads and are empirically supported. This study interprets that information was incorporated first into the LCDSs because of the flight-to-liquidity during the recent crisis period but there is a default contagion effect by reflecting illiquidity-induced credit risk after the crisis. Finally, the dynamic conditional correlation analysis also confirms the main results.

Coupon and principal Separate Trading of Registered Interest and Principal Securities (STRIPS) maturing at the same date often trade at different yields. The paper aims to discuss this issue.

This paper analyzes for the first time the maturity structure of these differences for the US Treasury STRIPS market.

The paper surprisingly finds that short-term coupon STRIPS persistently trade at lower yields whereas long-term coupon STRIPS trade at higher yields compared to matched-maturity principal STRIPS.

An integrated analysis of Treasury STRIPS and the underlying notes market allows us to isolate two determinants: first, properties of the underlying notes that spill over to principal STRIPS, and second, the liquidity of coupon STRIPS measured by stripping activity and stripping volume.

The purpose of this paper is to investigate the effect of the crisis on the pricing of asset quality attributes. This paper uses sales transaction data to examine whether flight from risk phenomena took place in the US office market during the financial crisis of 2007-2009.

Hedonic regression procedures are used to test the hypothesis that the spread between the pricing of low-quality and high-quality characteristics increased during the crisis period compared to the pre-crisis period.

The results of the hedonic regression models suggest that the price spread between Class A and other properties grew significantly during the downturn.

Our results are consistent with the hypothesis of an increased price spread following a market downturn between Class A and non-Class A offices. The evidence suggests that the relationships between the returns on Class A and non-Class A assets changed during the period of market stress or crisis.

These findings have implications for real estate portfolio construction. If regime switches can be predicted and/or responded to rapidly, portfolios may be rebalanced. In crisis periods, portfolios might be reweighted towards Class A properties and in positive market periods, the reweighting would be towards non-Class A assets.

The global financial crisis has demonstrated that real estate markets play a crucial role in modern economies and that negative developments in these markets have the potential to spillover and create contagion for the larger economy, thereby affecting jobs, incomes and ultimately people’s livelihoods.

This is one of the first studies that address the flight to quality phenomenon in commercial real estate markets during periods of financial crisis and market turmoil.

The purpose of this study is to systematically review and analyze the literature in the area of liquidity of financial markets. The study summarizes the key findings and approaches and highlights the research gaps in the extant literature.

A variety of reputed databases are utilized to select 100 research papers, from a large pool of nearly 3,000 research papers spanning between 1972 and 2018 using systematic literature review methodology. The selected research papers are organized to provide an in-depth analysis and an account of the ongoing research in the area of liquidity. The study uses bibliometric network visualization and word-cloud analyses to compile and analyze the literature.

The study summarizes the recent approaches in the liquidity research on aspects such as methodologies followed, variables applied, sub-areas covered, and the types of economies and markets covered. The article shows that the literature on liquidity in the emerging markets (e.g. China and India) is deficient. Overall, the following research areas related to liquidity need further exploration in the context of emerging markets: liquidity beyond the best bid-ask quotes, intraday return predictability using microstructure variables (e.g. order imbalances), impact of algorithmic-trading and volatility of liquidity.

To the best of authors’ knowledge, in the recent past, a detailed account of the literature on liquidity has not been published. It provides a comprehensive collection and classification of the literature on the liquidity of financial markets. This would be helpful to the future researchers, academics and practitioners in the area of financial markets.

This chapter identifies three crisis warning indicators driven from trading in emerging markets’ carry trades, and empirically examines whether these indicators could predict two major financial crises that hit the global financial markets in the last decades — The 1997–1998 Asian crisis and the 2007–2008 global crisis. The probit regression is used to examine the power of the three indicators in forecasting financial crises, using data from eight Asian emerging countries which serve as proxies for emerging markets, independent of the origination of the crisis. I use both fixed effect and random effect estimation to measure crisis impacts. The empirical results show that financial crises could have been predicted. Probit estimation show that carry trade returns can predict a financial crisis, and the estimation results are robust to both panel level and country-level analysis. These three indicators are by no means an exhaustive list of all possible predictors of financial crisis. The literature suggests other fundamental indicators of financial crises such as the current account deficit and foreign debt. However, this chapter cannot fully consider these indicators for lack of data at this point in time. Although financial crisis may be better predicted by the well-known fundamental indicators, the contribution of this chapter is simply that carry trade-related indicators can help in predicting crises.

There is limited discussion in the literature of the problems associated with constructing stress tests. The Credit Crunch has revealed that attention simply to haircuts to asset values and resulting margin calls is insufficient. The purpose of this paper is to explore additional avenues for stress testing.

The paper is largely discursive.

Stress tests must look into the debt position of the firm, as well as its position and credit exposures. Not only the volume of debt but its maturity structure, callability and the indentures attached to it are extremely important.

The paper is geared more toward management and practitioners than to academic researchers. Implications for the analysis of corporate strategy are significant.

Stress testing is essential to the confident continuance of firms.

So much of the work in this area is proprietary and so little has been published on it.

The dynamics between five-year US Treasury bonds and interest rate swaps are examined using bivariate threshold autoregressive (BTAR) models to determine the drivers of spread changes and the nature of the lead–lag relation between the two instruments. This model is able to identify the economic – or threshold – value that market participants consider significant before realigning their portfolios. Specifically, three different regimes are identified: when the swap spread in the previous week is either high or low, the Treasury bond market leads the swap market. However, when the swap spread is low, none of the markets leads each other. Thus, yield movements are shown to be governed by the direction and magnitude of the change in the swap spread, which in turn provides an economic insight into the rebalancing between swap and bond portfolios.

The purpose of this study is to assess alternative financial stress indicators for India in terms of tracing crisis events, mapping with the business cycle and the macroeconomic effect of stress indices.

The study constructs the composite indicator of systemic stress of Hollo, Kremer and Lo Duca (2012) for India using two different methods for computing time-varying cross-correlation matrix, namely, exponentially weighted moving average (EWMA) and dynamic conditional correlation-generalized autoregressive conditional heteroscedasticity (DCC-GARCH). The derived indices are evaluated with widely used, equal variance and principal component weighting indices in terms of tracing stress events, mapping with the business cycles and the macroeconomic effect. For this purpose, the study identifies various episodes of financial stress and uses the business cycle dates in the sample covering from January 2001 to October 2018.

The results suggest that stress indices based on EWMA and DCC-GARCH accurately identify the well-known stress periods and capture the recession dates and show an adverse effect on economic activity. Primarily, the DCC-GARCH-based stress index emerges as a better indicator of stress because it efficiently locates all the major-minor events, traces the build-up of stress and reverts to the normal level during stable times.

The DCC-GARCH-based stress index is a very useful indicator for policymakers in regularly monitoring India’s financial conditions and providing timely identification of systemic stress to avoid adverse repercussion effects of the financial crisis.

The 2007–2008 financial crisis and subsequent recurrent instability in the financial markets highlighted the requirement for an appropriate financial stress indicator for a timely assessment of the system-wide financial stress. To the authors’ knowledge, this is the first study that incorporates the systemic nature of financial stress in the construction of stress indices for India and provides a holistic evaluation of the financial stress from an emerging country’s perspective.