Brokers and Order Flow Leakage: Evidence from Fire Sales

Using trade‐level data, we study whether brokers play a role in spreading order flow information in the stock market. We focus on large portfolio liquidations that result in temporary price drops, and identify the brokers who intermediate these trades. These brokers’ clients are more likely to predate on the liquidating funds than to provide liquidity. Predation leads to profits of about 25 basis points over 10 days and increases the liquidation costs of the distressed fund by 40%. This evidence suggests a role of information leakage in exacerbating fire sales.     

Crises,Liquidity Shocks,and Fire Sales at Commercial Banks

If liquidity shortages cause financial crises, a lender of last resort can provide funds to banks facing potential fire sales. However, if funding problems primarily occur at banks with existing solvency problems, then government liquidity programs may not spur bank lending. We find that commercial bank funding does not typically dry up in a crisis, not even during the subprime crisis. Rather, weak banks are more likely to borrow less. Furthermore, banks rely more on deposits and newly issued equity than fire sales. When they do sell assets, they cherry pick assets in order to alleviate pressure from capital regulations.     

Asset Fire Sales and Purchases and the International Transmission of Funding Shocks

We identify a new channel for the transmission of shocks across international markets. Investor flows to funds domiciled in developed markets force significant changes in these funds' emerging market portfolio allocations. These forced trades or “fire sales” affect emerging market equity prices, correlations, and betas, and are related to but distinct from effects arising purely from fund holdings or from overlapping ownership of emerging markets in fund portfolios. A simple model and calibration exercise highlight the importance to these findings of “push” effects from funds' domicile countries and “co‐ownership spillover” between markets with overlapping fund ownership.     

The Paradox of Financial Fire Sales: The Role of Arbitrage Capital in Determining Liquidity

How can fire sales for financial assets happen when the economy contains well‐capitalized but nonspecialist investors? Our explanation combines rational expectations equilibrium and “lemons” models. When specialist (informed) market participants are liquidity‐constrained, prices become less informative. This creates an adverse selection problem, decreasing the supply of high‐quality assets, and lowering valuations by nonspecialist (uninformed) investors, who become unwilling to supply capital to support the price. In normal times, arbitrage capital can “multiply” itself by making uninformed capital function as informed capital, but in a crisis, this stabilizing mechanism fails.     

A Pricing Model for Residential Homes with Poisson Arrivals and a Sales Deadline

We introduce a pricing model for single-family residences on the real estate market. The model considers purchase offers that arrive according to a Poisson process. The homeowner’s problem is to set a price that will maximize his net profit. The selling agent suggests a price to the homeowner that will maximize her net profit, which consists of her sales commission minus her costs. Our model accounts for a deadline to sell the home, a common feature of the housing market, beyond which fixed and variable penalty costs accrue to both the homeowner and selling agent. We demonstrate the behavior of the model and show under what conditions the owner’s and agent’s incentives are aligned. Our computational results suggest, in most circumstances, that agents should not pressure owners to substantially lower their asking prices in the presence of a deadline.     

Insider Trading and Option Grant Timing in Response to Fire Sales (and Purchases) of Stocks by Mutual Funds

Mutual funds experiencing large outflows (inflows) tend to decrease (expand) their positions, creating downward (upward) price pressure in the stocks held in common by them ( Coval and Stafford [2007] ). This study shows that corporate insiders exploit the resulting mispricing by buying (selling) their company's stock if it is subject to such fire sales (purchases) by funds. We also show that the likelihood of option grants is greater for stocks that are subject to mutual fund fire sales. Finally, we show that both the insider trading and the option granting activities help speed up the correction of the flow‐driven mispricing. Overall, this study illustrates that insiders enhance personal benefits by trading on their personal account and influencing the timing of option grants in response to mispricing due to flow‐driven fund trading. Moreover, these activities help improve the informational efficiency of stock price.     

Complexity and financial stability in a large random economy

I study the limit of a large random economy, in the ideal case of perfect competition, where full information is available to all market participants, and where a set of consumers invests in financial instruments engineered by banks in order to optimize their future consumption. This provides a picture of how unregulated financial innovation pushes an economy towards the ideal limit of complete markets. Hedging new products with existing products allows financial institutions to reduce the associated risk and hence the risk premium. This has the expected consequence that markets, under such ideal conditions, converge to market completeness as the repertoire of financial instruments expands. As markets approach completeness, however, two ‘unintended consequences’ also arise: (i) equilibrium portfolios develop a marked susceptibility to idiosyncratic shocks and/or parameter uncertainty and (ii) hedging engenders divergent trading volumes in the interbank market. Combining these suggests an inverse relation between financial stability and the size of the financial sector, which can be quantified within the present framework. These results suggest that even under perfect competition and symmetric information, the pursuit of market efficiency—in terms of completeness—may erode financial stability. The proliferation of financial instruments exacerbates the effects of market imperfections and, in order to prevent an escalation of perverse effects, markets may require institutional structures that become more and more substantial as their complexity expands.     

Real Earnings Management in Sales

We surveyed 1,638 sales executives across 40 countries regarding their companies’ likelihood of asking sales to perform real earnings management (REM) actions when earnings pressure exists. Using this information, which we refer to as companies’ REM propensities, we study how company characteristics and environmental conditions relate to the responses received. The use of cash‐flow incentives for sales personnel and the distribution of interfunctional power in favor of finance rather than sales are both associated with companies’ REM propensities. In addition, we show that sales executives preemptively change their behaviors in anticipation of top management's REM requests. Sales executives working for public companies and companies in the United States reported higher levels of REM propensity. The data also support an association between REM propensity and finance–sales conflict. These findings and others are compared and contrasted with existing empirical and survey‐based research on REM throughout the paper.     

The Hierarchical Repeat Sales Model for Granular Commercial Real Estate and Residential Price Indices

This paper concerns the estimation of granular property price indices in commercial real estate and residential markets. We specify and apply a repeat sales model with multiple stochastic log price trends having a hierarchical additive structure: One common log price trend and cluster specific log price trends in deviation from the common trend. Moreover, we assume that the error terms potentially have a heavy tailed (t) distribution to effectively deal with outliers. We apply the hierarchical repeat sales model on commercial properties in the Philadelphia/Baltimore region and on residential properties in a small part of Amsterdam. The results show that the hierarchical repeat sales model provides reliable indices on a very detailed level based on a small number of observations. The estimated degrees of freedom for the t-distribution is small, largely rejecting the commonly made assumption of normality of the error term.     

Sales forecasting in financial distribution: a comparison of quantitative forecasting methods

This paper deals with the issue of forecastability of sales activities of independent financial advisers (agents). Employing the most common quantitative methods on a diverse sample of timelines from multiple advisory companies, we have found that under most settings, these methods offer sub-par performance with high relative errors and no statistical differences between them. When a more granular approach is applied (reflecting sales unit size), ARIMA and the simple moving average emerge as significantly less accurate. This outcome is true for all sales units regardless of their size, when relative error is concerned. Thus, our analysis confirms the difficult forecastability of financial sales, speaking against the utilisation of more sophisticated forecasting methods, which mostly fail when compared to their much simpler and less costly counterparts.

     

合资人之间设备购买合同出现纠纷之后

1995年7月24日,中国的W公司与英国的T公司、H公司三方签署了一份意向书。根据该意向书．三方拟共同建立一家合资企业,为W公司与H公司在中国的合资企业WH公司生产叶轮。该意向书对合资企业的总投资、出资比例、出资方式、合资企业管理等事项作了一些约定。根据约定,W公司将从T公司分别购买生产叶轮的技术和设备,并以购买价格将上述技术和设备投入合资企业,但技术转让将在合资协议签署后完成;W公司、T公司和H公司应尽力在1995年12月以前     

Towards the Development of a Tax System Complexity Index

Reducing tax system complexity is a common goal amongst policymakers; yet there is no commonly agreed definition of complexity. This paper seeks to fill this gap, by proposing the construction of an index of tax system complexity, conceived as a summary indicator of the overall complexity of a tax system at a particular point in time. If adopted, such an index would not only enable assessment of the changing level of a country's tax system complexity over time, but may also facilitate comparisons of the relative complexity of different countries' tax systems in future.     

Temporal Aggregation in Repeated Sales Models

Over the years, repeated sales models have come to wide and even commercial use. However, considering the subset of dwellings sold twice entail several challenges. Small sample problems constitute a special concern in repeated sales models, since sample sizes tend to be smaller than hedonic methods based on all transactions in a given period of time. Moreover, a cluster of observations in one time period does not only influence the index corresponding to that particular time period, but all other estimated indexes. A simulation approach is used to study the interplay between sample size and temporal aggregation. The analysis shows that serious mis-measurements may occur even in cases where the statistical diagnostic tools like R ² and t-values and empiric standard deviations indicate good explanatory power. However, the risk of serious biases driven by sparse data sets tends to be small, even if the actual estimated price curve show signs of under-smoothing. Mis-measured curves have unstable estimates with respect to temporal aggregation. Two repeated models, one with a slightly finer time partition achieved by adding one more time dummy, used on the same sample can alter the index estimate at a given time with as much at 10–15%. The simulations reveal that varying temporal aggregation is a powerful diagnostic tool and should be employed routinely. The last part of the paper shows that choosing an appropriate temporal aggregation involves more than merely a balance between under-smoothing and over-smoothing. Efficiency questions tend to be better addressed by a higher temporal aggregation, than a good overall estimation of the price curve alone calls for.      

Complexity and thermodynamics : Towards a new ecology

This article proposes a thermodynamic paradigm for the development of ecosystems. Ecosystems are viewed as non-equilibrium structures and processes, open to material and energy flows. It is suggested that as ecosystems grow and develop, they should increase their total dissipation by developing structures and processes to assist energy degradation. Species which survive in ecosystems are those that funnel energy into their own production and reproduction and contribute to autocatalytic processes which increase the total dissipation of the ecosystem. These studies may allow for the development of measures useful to environmental management and may help the science of ecology with a much needed theoretical framework.     

Spatial Distribution of Retail Sales

We examine the distribution of sales for a retail chain in the Houston market using a spatial gravity model. Unlike previous empirical studies, our approach models spatial dependencies among both consumers and retailers. The results show that both forms of spatial dependence exert statistically and economically significant impacts on the estimates of parameters in retail gravity models. Contrary to the suggestions of (Gautschi, D. A. (1981). “Specification of Patronage Models for Retail Center Choice,” Journal of Marketing Research 18, 162–174.) as well as (Eppli, M. J., and J. D. Shilling. (1996). “How Critical Is a Good Location to a Regional Shopping Center?” Journal of Real Estate Research 12, 459–468.), our results show the importance of the distance parameter in retail gravity models may be greatly understated. Thus, ignoring spatial dependence may lead to overestimation of the deterministic extent of trade areas, and underestimate the importance of good locations.     

对含税销售额不宜用简算法计算应缴纳的增值税额

增值税是价外税,以不含税的销售额为税基.对此,增值税暂行条例第六条明确规定,纳税人销售货物或者应税劳务的销售额,不包括收取的销项税额,并在该条例实施细则第十四条规定,纳税人采取销售额和销项税额合并定价的,应将含税销售额折算为不含税销售额,再乘以税率计算应纳增值税额.其计算公式为:     

Sales Concessions in the US Housing Market

This article examines the use of concessions in the US housing market, specifically payments for closing costs, home warranties, and structural repairs. This is the first study to examine the motivations and characteristics of homeowners that utilize concessions. It also examines the impact concessions have on transaction prices and marketing durations. While the literature has attempted to determine if concessions can reduce marketing durations or increase transaction prices, the evidence is tainted by endogeneity and sample issues. Additionally, we find that relative bargaining power between buyers and sellers has a fundamental effect on how concessions alter prices and marketing durations. This aspect has been considered only narrowly in the extant literature. Our results demonstrate that when sellers have bargaining power, transactions including concessions exhibit higher prices and shorter marketing durations. Conversely, when buyers have greater negotiation leverage, transactions including concessions experience lower prices and longer marketing periods.     

What Is in a Name? Purchases and Sales of Financial Assets as a Monetary Policy Instrument

This paper studies optimal interest rate and balance sheet policy in a quantitative New Keynesian model with a constrained financial sector, considering commitment versus discretion in monetary policy design and fixing either instrument. Optimal interest rate policy under commitment (discretion) achieves 93.0% (82.6%) of the potential gains to dual instrument monetary policy under commitment. Optimal discretionary dual instrument policy eliminates the cost of commitment limitations and exhibits no inflationary bias. Under commitment, the optimal balance sheet policy eliminates the cost of suboptimal interest rate policy, for example, an interest rate peg. Finally, I compare optimal policies to implementable rules-based policies.     

The Virtue of Complexity in Return Prediction

Much of the extant literature predicts market returns with “simple” models that use only a few parameters. Contrary to conventional wisdom, we theoretically prove that simple models severely understate return predictability compared to “complex” models in which the number of parameters exceeds the number of observations. We empirically document the virtue of complexity in U.S. equity market return prediction. Our findings establish the rationale for modeling expected returns through machine learning.     

Complexity and contradiction in NHS computing

The National Health Service (NHS) has entered a new world of managed competition, where the purchasing and provision of services are formally separated. Accompanying the changes are major investments in computer systems, which will continue for at least the first half of the 1990s. However, the performance of the NHS in implementing computer systems has been variable, so that now is an appropriate time to review the current status of NHS computing, and to consider the key issues for computing in the new environment.