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Today, not only the financial but also the non-financial attributes are considered vital for the financial health of the banks. To validate this argument, the current study investigates factors affecting the liquidity position of banks and examines its impact along with the moderation of the Sharia board on the liquidity of Islamic banks in Pakistan. Collecting panel data, this study applied a fixed-effect model on Pakistani Islamic banks for the post-financial crises period 2009–2020. Empirical findings revealed that total assets and profitability are positively and significantly linked to the liquidity position of Islamic banks. However, the deposits and capital adequacy ratios were found to have a negative influence on the Islamic banks’ liquidity. Among the macroeconomic factors, none has established significant nexus with the liquidity of Islamic banks in Pakistan. Interestingly, the insignificant relationship between funding cost became significant with the moderating factor of Sharia board size. The study provides important insights for the shareholders, customers, investors, and policymakers of Islamic banks. The empirical findings offer practical guidance for the regulators of Islamic banks to strengthen their Sharia boards to manage the liquidity position by regulating the funding costs. The Islamic banks’ liquidity position can also be managed by generating high profits, maintaining capital adequacy ratio, and increasing deposits. To the best of the authors’ knowledge, this is the first empirical study that investigates the moderating role of Sharia governance in managing the liquidity of Islamic banks in Pakistan. This research offers a new and most important direction for future studies to investigate the role of non-financial attributes along with the financial indicators in evaluating the financial soundness of Islamic banks.

This chapter provides readers with the skills and insights to enable a fuller understanding of a public company’s underlying financial statements. Financial statement analysis is a form of fundamental analysis that identifies and analyzes the key financial information relevant to a company, for the purpose of determining the company’s intrinsic value. This chapter concentrates on the calculation and application of the principal financial ratios for profitability, efficiency, liquidity, solvency, and investment potential. There is an effort to make the content accessible to readers on a practical level, by applying the various ratios to the real financial statements of Johnson & Johnson. While the chapter outlines in detail the quantitative calculations required to undertake financial statement analysis, there is a firm emphasis on the importance of context in properly applying these techniques. The establishment of trends, the comparison of data to benchmarks, and the consideration of strategic factors all form part of this holistic contextual analysis of financial statement information.

We study three widely used liquidity measures and find that they all carry significant premiums beyond the size, book-to-market, and momentum effects. Although liquidity as a risk factor bears a significant return premium, it is better characterized by a characteristic-based model. Further analysis shows that (1) although the premium persists for up to five years following formation, it diminishes over time and becomes insignificant in the post-1960 period; (2) the premium is larger for stocks with higher idiosyncratic risk. Thus, the empirical results provide some evidence that supports the mispricing argument.

This study examines the implications of a bank’s activity mix and funding strategy for its liquidity management as defined in the Basel III accords or when they create more liquidity as measured by Berger and Bouwman (2009). Using an international sample of 624 banks in 65 countries, we find that, at low levels of noninterest income and nondeposit funding, there could be some risk diversification benefits in increasing these shares; however, at higher levels of noninterest income and nondeposit funding shares, additional increases result in higher illiquidity. Finally, better accounting disclosure will improve the effect on bank liquidity by both bank’s activity mix and funding strategy, but at the same time, they worsen the bank liquidity by stricter capital stringency and more market power.

The credit default swap (CDS) market has experienced tremendous changes over the last two decades. This chapter reviews recent studies on the CDS contract and the CDS market, highlighting recent developments in CDS contracts and market structures. Characteristics of CDS contracts make them outstanding from other derivatives products, and the rapid development of CDS markets shows the popular use and importance of CDS contracts in general. Policies and regulations on CDSs have brought huge changes to the market and the availability of publicly reported data. The relationship between firms and CDS has long been a focus among academics. Moreover, CDSs are also commonly used among mutual funds, hedge funds, and banks, affecting the trading activities of various financial intermediaries. While the sovereign CDS and index CDS are shown to be more and more significant in financial markets, other CDS products, including CDS options and tranches, also experience changes. We summarize the evolution in CDS markets and the structure of CDS studies, aiming to gain a better understanding of CDS markets and provide insights for future studies on the CDS market.

We construct liquidity and earnings-based factors and combine with the Market to describe stock returns. Liquidity and Liquidity Growth are significant factors across markets. Intercept tests show that the IELM (International Earnings, Liquidity, and Market) model fits the cross section in various country groupings. As previous research showed, a Liquidity Growth factor subsumes momentum in the U.S., and we test this across international markets. From 2001 through 2019, the momentum factor has a high mean and is significant in Europe and in the Asia-Pacific, except Japan. For this time period, however, momentum is not significant in North American and Japan. While the IELM model reduces the momentum intercept in North America, both IELM and Fama and French (2017) have trouble explaining momentum in Europe and Asia where momentum is pervasive.

The electronic limit order book has transformed securities markets. Advantages of speed, simplicity, scalability, and low costs drive the rapid adoption of this mechanism to trade equities, bonds, foreign exchange, and derivatives worldwide. But limit order book systems depend primarily on public limit orders to provide liquidity, raising natural questions regarding the resiliency of the mechanism under stress. This paper provides an analysis of the stochastic dynamics of liquidity and its relation to volatility shocks using data from a futures market. Aggregate market liquidity exhibits considerable variation, and is inversely related to volatility, as predicted by our model. However, liquidity shocks dissipate quickly, indicating a high degree of market resiliency. This fact has important practical implications, particularly as regards to institutional trading, and market protocols. We explore these practical issues in detail.

In this paper, we analyze cross-sectional heterogeneity in the time-series variation of liquidity in equity markets. Our analysis uses a broad time-series and cross-section of liquidity data. We find that average daily changes in liquidity exhibit significant heterogeneity in the cross-section; the liquidity of small firms varies more on a daily basis than that of large firms. A steady increase in aggregate market liquidity over the past decade is more strongly manifest in large firms than in small firms. Absolute stock returns are an important determinant of liquidity. We investigate cross-sectional differences in the resilience of a firm's liquidity to information shocks. We use the sensitivity of stock liquidity to absolute stock returns as an inverse measure of this resilience, and find that the measure exhibits considerable cross-sectional variation. Firm size, return volatility, institutional holdings, and volume are all significant cross-sectional determinants of this measure.