An information-based trade off between foreign direct investment and foreign portfolio investment

The paper develops a model of foreign direct investments (FDI) and foreign portfolio investments (FPI). FDI enables the owner to obtain refined information about the firm. This superiority, relative to FPI, comes with a cost: a firm owned by the FDI investor has a low resale price because of asymmetric information between the owner and potential buyers. The model can explain several stylized facts regarding foreign equity flows, such as the larger ratio of FDI to FPI inflows in developing countries relative to developed countries, and the greater volatility of FDI net inflows relative to FPI net inflows.     

Stabilizing the market with short sale constraint? New evidence from price jump activities

We re-examine the impact of short-sale constraints (SSC) on market stabilization via realized jump activities during 2002–2009 to circumvent the reverse causality in identifying the policy effects of SSC. We observed that the abnormal downturns under tighter short sale constraints are significantly larger whereas there is no difference for abnormal upturns. Our empirical results survive across a sequence of robustness examinations controlled for market illiquidity. The findings do not support the claims by regulators that restraining short-sales can stabilize prices; instead, SSC has led to a less efficient market with stronger extreme downward returns.     

On the predictability of the distribution of excess returns in currency markets

This paper investigates the predictability of foreign exchange (FX) volatility and liquidity risk factors on returns to the carry trade, an investment strategy that borrows in currencies with low interest rates and invests in currencies with high interest rates. Previous studies have suggested that this predictability could have been spuriously accounted for due to the persistence of the predictors. The analysis uses a predictive quantile regression model developed by Lee (2016) that allows for persistent predictors. We find that predictability changes remarkably across the entire distribution of currency excess returns. Predictability weakens substantially in the left tail once persistence is accounted for, implying a moderate negative predictive relation between FX volatility risk and carry trade returns. By contrast, it becomes stronger in the right tail. Furthermore, we provide evidence that FX volatility risk still dominates liquidity risk after controlling for persistence. These findings suggest that the persistence of the predictors needs to be taken into account when one measures predictability in currency markets. Finally, out-of-sample forecast performance is also presented.     

Capital account flows,consumption ratios and the middle‐income trap

The existing literature suggests that it is important to understand the factors that may slow the transition of an economy from middle to high income. Many factors have been suggested as promoting or retarding economic growth, but little attention has been paid to the roles of the capital account and consumption ratio. Using panel regressions involving 48 countries over the 1950–2013 period as well as employing extreme bounds analysis, we find that foreign investment outflows are associated with a mature economy and that there is an optimal consumption ratio that must be surpassed to break out of middle‐income status. These findings are robust to an extreme bounds analysis incorporating a wide range of variables potentially related to growth performance.     

Carry

We apply the concept of carry, which has been studied almost exclusively in currency markets, to any asset. A security’s expected return is decomposed into its “carry,” an ex-ante and model-free characteristic, and its expected price appreciation. Carry predicts returns cross-sectionally and in time series for a host of different asset classes, including global equities, global bonds, commodities, US Treasuries, credit, and options. Carry is not explained by known predictors of returns from these asset classes, and it captures many of these predictors, providing a unifying framework for return predictability. We reject a generalized version of Uncovered Interest Parity and the Expectations Hypothesis in favor of models with varying risk premia, in which carry strategies are commonly exposed to global recession, liquidity, and volatility risks, though none fully explains carry’s premium.     

Commonality in liquidity among Middle East and North Africa emerging stock markets: Does it really matter?

This study investigates commonality in daily liquidity among 11 emerging stock markets from the Middle East and North Africa from January 2005 to June 2017. First, we test long memory in liquidity in these markets. Second, we select a number of factors eligible to affect liquidity commonality among local, regional and global factors. We find that regional and US factors do not explain liquidity variations in all the markets that exhibit low sensitivity to external factors. Our results are robust to the use of alternative proxies. The analysis in sub-periods confirms our results showing that most markets are not very sensitive to fluctuations and external shocks of liquidity. For international investors, stock markets in the Middle East and North Africa present an opportunity for further diversification, as these markets exhibit weak correlations between them and with the global market with regard to liquidity.     

Optimal order display in limit order markets with liquidity competition

Order display is associated with benefits and costs. Benefits arise from increased execution-priority, while costs are due to adverse market impact. We analyze a structural model of optimal order placement that captures trade-off between the costs and benefits of order display. For a benchmark model of pure liquidity competition, we give a closed-form solution for optimal display sizes. We show that competition in liquidity supply incentivizes the use of hidden orders to prevent losses due to over-bidding. Thus, because aggressive liquidity competition is more prevalent in liquid stocks, our model predicts that the proportion of hidden liquidity is higher in liquid markets. Our theoretical considerations ares supported by an empirical analysis using high-frequency order-message data from NASDAQ. We find that there are no benefits in hiding orders in il-liquid stocks, whereas the performance gains can be significant in liquid stocks.     

Scarcity of safe assets,inflation, and the policy trap

A goal of this paper is to make sense of the seemingly puzzling behavior of interest rates and inflation – and the role of central banks in that behavior – during and after the Great Recession, particularly in the United States. To this end, we construct a model in which government debt plays a key role in exchange, and can bear a liquidity premium. If asset market constraints bind, then there need not be deflation under an indefinite zero interest rate policy (ZIRP). Further, ZIRP may not be optimal under these circumstances. A Taylor-rule central banker could be subject to a ZIRP trap and persistently undershoot target inflation. As well, a liquidity premium on government debt creates additional Taylor rule perils, because of a persistently low real interest rate. We make a case that this is the key policy predicament currently faced by many central banks in the world.     

Liquidity risk and policy options

On the basis of a liquidity management model, liquidity risks, defined as the probability of payment failures in a real-time gross settlement (RTGS) payment system, may either stem from liquidity management inefficiencies or insufficient cash balances. I will show that penalties charged on the amount of payment failures minimise liquidity risks without interfering with the bank’s technology preferences. I will instead show that liquidity requirements, although as effective as penalties to contain the risk of liquidity shortage, may distort the bank’s technology preferences and cannot stem liquidity management inefficiencies. I will also show that liquidity risks within RTGS payment systems are potentially smaller because they depend more on the liquidity management efficiency than on the randomness of cash inflows and outflows.     

Measuring the liquidity part of volume

Based on the concept that the presence of liquidity frictions can increase the daily traded volume, we develop an extended version of the mixture of distribution hypothesis model (MDH) along the lines of Tauchen and Pitts (1983) to measure the liquidity portion of volume. Our approach relies on a structural definition of liquidity frictions arising from the theoretical framework of Grossman and Miller (1988), which explains how liquidity shocks affect the way in which information is incorporated into daily trading characteristics. In addition, we propose an econometric setup exploiting the volatility–volume relationship to filter the liquidity portion of volume and infer the presence of liquidity frictions using daily data. Finally, based on FTSE 100 stocks, we show that the extended MDH model proposed here outperforms that of Andersen (1996) and that the liquidity frictions are priced in the cross-section of stock returns.