Narrow Results

Trading in commodity derivatives on exchange platforms is an instrument to achieve price discovery and better price-risk management besides helping the macroeconomy with better resource allocation. In the 2008–2009 budget, the Indian government proposed to impose a commodity transaction tax (CTT) amounting to 0.017% of trading value. In this context, we examine the relationship between trading activity, volatility and transaction cost for five most traded commodities in India. Results suggest that there exists a negative relationship between transaction cost and liquidity and a positive relationship between transaction cost and volatility. Further, the results of structural model support the results of VAR analysis. Therefore, if the government imposes CTT, it would lead to higher volatility and lower trading activity affecting market efficiency and liquidity.

This paper investigates the link between stock market liquidity and firm value in an important emerging market, Vietnam. Specially, we examine this relationship using a sample of firms listed on the Ho Chi Minh City stock exchange for the period 2006–2014. We show that there is a negative relation between liquidity and firm value. This outcome is contrary to previous results for many developed countries. Further, we demonstrate that this result may be explained by differences in leverage effects and pricing-based theories, where stock liquidity influences firm performance via an illiquidity premium or mispricing.

A growing volume of studies indicate that the information asymmetry problem is a serious issue which significantly hinders stock market development. This problem is more pronounced in emerging markets with weak institutions. The domination of large shareholders in a firm might be a cause of information asymmetry because they are commonly believed to have access to private and value-relevant information. The current paper offers insight into the relationship between multiple large shareholder ownership and stock market information asymmetry in the context of Vietnam, an important emerging market. Employing fixed effects and GMM estimators for a panel data sample of firms listed on the Ho Chi Minh City stock exchange covering the period 2007–2015, the results suggest that the concentration of large shareholder ownership is positively and significantly associated with information asymmetry. This finding has strong implications for policy making process in promoting stock market development.

At the macro-level, whether US dollar (USD) spillover could sustain the prosperity and stability of international economic and financial systems should become a key basis for judging the rationality of the current USD standard international monetary system. As the main contributor to USD liquidity externalities, US Treasury securities have long been favored by major economies worldwide due to their perceived safety and reliability, and their yield should be a key indicator for measuring the effect of USD liquidity spillover and the rationality of the international monetary system. However, the discussion in previous studies concerning the efficiency of holding US Treasury securities on the microeconomic level is insufficient. This study considers the negative externality of asset allocation behavior when analyzing its rationality at the macro-level. According to the empirical results, we find a clear negative relationship between the efficiency and the risk of USD assets and the holding scale of USD foreign exchange reserves. This finding indicates the dilemma faced by major economies in managing international liquidity without a sound replacement for USD assets. We argue that the current USD standard monetary system needs to be reformed and diversified to optimize the benefit of liquidity holdings globally. An internationalized RMB could play a more important role on the global and regional stages in strengthening and reforming the current monetary ecosystem.

In view of the interaction between demand and supply shocks and the nature of the disparity in business cycles between Advanced Economies (AEs) and Emerging Market Economies (EMEs), we reinvigorate policy “silver bullets” that ascertain a sustainable growth revival in the aftermath of the COVID-19 shock. Using a novel business cycle dating algorithm, we identify up-cycle and down-cycle phases in India’s gross domestic product growth rate and use dynamic factor analysis using several high-frequency indicators for tracking private investment activity in India. On the demand side, our empirical results indicate that a boost to private investment can arrest a growth deceleration during a down-cycle, via consumption and output channels. We also observe that both the quantum and quality of public expenditure play an important role in arresting the growth deceleration. On the supply side, however, global supply chain disruptions could dampen the pace of investment during the post-COVID investment-led recovery. For both channels to work, credit offtake is necessary for a bank-dominated EME like India. Finally, despite low-capacity utilization rates, we draw several policy conclusions to jump-start economic activity levels.

In view of explosive trends and excessive trades in the cryptocurrency markets, this paper contributes to the existing literature by bringing in the limelight the effect of liquidity on the herding behavior in the cryptocurrency market. Results from a first applied herding model including contemporaneous and lagged squared market returns demonstrated that market-wide herding exists within falling markets. The incorporation of liquidity highlights further evidences on herding behavior across cryptocurrencies during high and low liquid days, which varies across percentiles. Our findings bring handy implications for topics of portfolio and risk management, as well as regulation.

The paper provides a continuous time model for order-driven stock market. The model allows to derive a nonlinear PDE as a modification of Black–Scholes equation for option pricing with a local volatility as a function of the stock price. The solution can be expanded in series in the parameter, which relates to the size of option market. The first-order correction for the option price increases the price of a European call. The second-order correction for volatility allows to describe the "volatility smile".

We propose a model of a financial market with multiple assets that takes into account the impact of a large institutional investor rebalancing its positions so as to maintain a fixed allocation in each asset. We show that feedback effects can lead to significant excess realized correlation between asset returns and modify the principal component structure of the (realized) correlation matrix of returns. Our study naturally links, in a quantitative manner, the properties of the realized correlation matrix — correlation between assets, eigenvectors and eigenvalues — to the sizes and trading volumes of large institutional investors. In particular, we show that even starting with uncorrelated “fundamentals”, fund rebalancing endogenously generates a correlation matrix of returns with a first eigenvector with positive components, which can be associated to the market, as observed empirically. Finally, we show that feedback effects flatten the differences between the expected returns of assets and tend to align them with the returns of the institutional investor’s portfolio, making this benchmark fund more difficult to beat, not because of its strategy but precisely because of its size and market impact.

We propose a model for a manager of a hedge fund with a liquidity constraint, where he is seeking to optimize his utility of wealth, with one and multiple period horizons. By using stochastic control techniques, we state the corresponding multi-dimensional Hamilton–Jacobi–Bellman partial differential equation and we use a robust numerical approximation to obtain its unique viscosity solution. We examine the effects of the liquidity constraint on managerial trading decisions and optimal allocation, finding that the manager behaves in a less risky manner. We also calculate the cost of being at sub-optimal positions as the difference in the certainty equivalent payoff for the manager. Moreover, we compare the values of a benchmark hedge fund with another one having a risky asset with a higher rate of return but less liquidity, finding that higher rate of return with a liquidity constraint does not always lead to greater return.

This paper investigates the relationship between volatility and liquidity on the German electricity futures market based on high-frequency intraday prices. We estimate volatility by the time-weighted realized variance acknowledging that empirical intraday prices are not equally spaced in time. Empirical evidence suggests that volatility of electricity futures decreases as time approaches maturity, while coincidently liquidity increases. Established continuous-time stochastic models for electricity futures prices involve a growing volatility function in time and are thus not able to capture our empirical findings a priori. In Monte Carlo simulations, we demonstrate that incorporating increasing liquidity into the established models is key to model the decreasing volatility evolution.

In this paper, we propose a framework for credit and debit valuation adjustments (CVA and DVA, respectively) for options and option portfolios which is based on conic finance, that is, where the positions are valued at their bid or ask prices depending on whether they are assets or liabilities. This can be achieved by transforming the pricing measure via appropriate distortion functions, depending on (at least) one parameter. We apply our methodology, which is based on the Wang transform, to portfolios of European commodity futures options, and we show that both CVA and DVA are significantly impacted by bid-ask spreads, when compared to their traditional risk-neutral counterparts. In particular, we show that DVA decreases when computed under conic finance settings, which is in line with the regulatory efforts to rein in DVA gains for financial institutions resulting from their own credit quality deterioration. Finally, we investigate the robustness of our approach with respect to the calibrated parameters, and we show that the calibrated distortion parameter is an excellent explanatory variable for the observed bid-ask spreads.

Risk-neutral default probabilities can be implied from credit default swap (CDS) market quotes. In practice, mid-CDS quotes are used as inputs, as their risk-neutral counterparts are not observable. We show how to imply risk-neutral default probabilities from bid and ask quotes directly by means of formulating the CDS calibration problem to bid and ask market quotes within the conic finance framework. Assuming the risk-neutral distribution of the default time to be driven by a Poisson process we prove, under mild liquidity-related assumptions, that the calibration problem admits a unique solution that also allows to jointly calculate the implied liquidity of the market.

We propose an agent-based computational model for a financial system consisting of a network of banks with interconnected balance sheets comprising fixed assets (e.g. loans to agents outside the network), liquid assets (e.g. cash or central bank reserves), general collateral (e.g. government debt), unsecured interbank loans and reverse-repos to other banks as assets, as well as deposits, unsecured interbank loans and repos from other banks as liabilities. Importantly, we allow banks to use reverse-repo assets as collateral for obtaining repo loans from other banks, that is to say, rehypothecation. Banks need to satisfy liquidity, collateral, and solvency constraints. If the first two constraints are violated because of internal or external shocks, solvent banks attempt to restore them by rebalancing their assets, which might lead to the propagation of the shock because of fire-sale effects (if fixed assets are sold) or liquidity hoarding (if secured or unsecured loans are recalled). Insolvent banks, as well as banks that failed to restore the liquidity and collateral constraints after rebalancing, are removed from the network using a resolution algorithm that includes a netting step (i.e. removal of closed cycles of liabilities) and a novation step (i.e. redistribution of repo assets and liabilities to remaining banks). We show analytically that this proposed resolution algorithm has several desirable properties, most importantly the order-independence of the novation step, and we investigate the stability properties of the network through a series of numerical experiments.

Bank loan sales activities in the U.S. increased dramatically in the 1980s. We develop a dynamic control model that integrates existing rationales for loan sales. Our model explains several recently documented empirical facts concerning both bank loan sales and purchases in a consistent fashion and yields additional testable hypotheses.

Using data from the Taiwanese stock market, an emerging market, this paper documents positive changes in liquidity and volatility around seasoned equity offerings (SEOs). These findings are consistent with the uncertain signal hypothesis that investors with diverse views on the information content of SEOs are likely to induce larger trading activity and subsequent higher stock return volatility. We also provide direct evidence that changes in liquidity is positively associated with stock price adjustment. However, the relations among liquidity, volatility and price movements appear to rely on how SEOs are conducted. A practical implication is that managers may influence liquidity and stock price movement through their choice of SEOs issuing methods.

Estimation of benchmark yield curve in developing markets is often influenced by liquidity concentration. Based on an affine term structure model, we develop a long run liquidity weighted fitting method to address the trading concentration phenomenon arising from horizon-induced clientele equilibrium as well as information discovery. Specifically, we employ arguments from models of liquidity concentration and benchmark security information. After examining time series behavior of price errors against our fitted model, we find results consistent with both the horizon and information hypotheses. Our evidence indicates that trading liquidity carries information effect in the long run, which cannot be fully captured in the short run. Trading liquidity plays a key role in long run term structure fitting. Markets for liquid benchmark government bond issues collectively form a long term equilibrium. Compared with previous studies, our results provide a robust and realistic characterization of the spot rate term structure and related price forecasting over time, which in turn help portfolio investment of fixed income and long run pricing of financial instruments.

This paper demonstrates analytically how short sellers can put non-transitory downward pressure on the stock market prices and intrinsic values of companies that need to raise external capital because of insufficient internal liquidity. The model helps explain anomalous empirical findings in the extant literature on negative returns to stocks subjected to heavy shorting activity. The implications of the model also supply normative justification for the sizable cash reserves held by corporations and their reluctance to raise external capital. The equity pricing effects implied by the model are illustrated for a large empirical sample of companies negatively impacted by heavy short sales. Empirical tests are also conducted in this research that provide evidence consistent with the theory.

Previous studies have documented the informational role of order imbalances in price discovery of the Treasury market. In this paper, we explore the liquidity dimension of order imbalances. Through our research, we find evidence which indicates that order imbalances affect Treasury market liquidity. More importantly, order imbalances have significant effects on Treasury market returns and volatility, consistent with the contention that order imbalances can cause an inventory problem of marketwide concern. Results suggest that a significant portion of the effect of order imbalances on price and quoted spread is associated with the inventory premium that compensates market participants for providing liquidity to uninformed traders. The effects of order imbalances on market liquidity, returns and volatility are stronger for two- and five-year notes and Treasury bills. Furthermore, there is commonality in order imbalances. Sensitivity of order imbalances individual bonds to marketwide order imbalances varies across securities.

Research suggests that the cash ratios of private firms are lower than the ones of public firms, which is not consistent with an expectation for increased importance of the precautionary motive for firms with fewer funding options. The study provides a significant explanation on these lower ratios, attributed to differences in leverage, capital expenditures, internally generated cash flows, and corporate governance. The study finally testifies that excess cash holdings are positively associated with future operating performance for private, but not public firms, a finding which is interpreted as a manifestation of capital raising constraints for unlisted versus listed firms.

This paper investigates basis spreads on index futures listed on the Taiwan Futures Exchange. We analyze the role of speculators and of informed trading in Taiwan's futures market using intraday data during the five-day pre-expiration period. We demonstrate that liquidity, volatility, and informed trading are each significantly positively related to spread magnitude, indicating that speculators may dominate arbitrageurs. While spreads have narrowed as the market has matured, liquidity and informed trading continue to widen spreads despite the fact that a naïve arbitrage strategy outperforms the market.