Reputation-based pricing and price improvements

Dealers often offer price improvements, relative to posted quotes, to their clients. In this paper, we propose an explanation to this practice. We also analyze its effects on market liquidity and traders’ welfare. Enduring relationships allow dealers to avoid informed trades by offering price improvements to clients who do not trade with the dealer when they are informed. A dealer never observes whether a specific client is informed or not but he can avoid informed orders by conditioning his offers on past trading profits. Cream-skimming of uninformed order-flow increases the risk of informed trading for dealers without a relationship. Thus, authorizing price improvements increases bid-ask spreads and impairs the welfare of investors without a relationship. It may even decrease the welfare of investors who develop a relationship as they sometimes need to trade at posted quotes. The model predicts a positive relationship between (a) the price improvements granted to a specific investor and past trading profits with this investor or (b) the frequency of price improvements and bid-ask spreads.     

Intraday behavior of market depth in a competitive dealer market: A note

This study is the first to examine the intraday behavior of quoted depth in a competitive dealer market. In sharp contrast to previous research that focuses on specialist markets, quoted depth is lowest at the open of trading, plateaus around the middle of the day, and then dramatically increases in the final hours of trading, peaking at the close. This peak in quoted depth coincides with a narrowing in bid‐ask spreads, and is contrary to intraday patterns documented for specialist markets. The authors conclude that the increase in depth and narrowing of bid‐ask spreads at the close is driven by dealers rebalancing inventories to achieve target inventory levels in a competitive market. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:294–307, 2008     

Size matters for OTC market makers: General results and dimensionality reduction techniques

In most over‐the‐counter (OTC) markets, a small number of market makers provide liquidity to other market participants. More precisely, for a list of assets, they set prices at which they agree to buy and sell. Market makers face therefore an interesting optimization problem: they need to choose bid and ask prices for making money while mitigating the risk associated with holding inventory in a volatile market. Many market‐making models have been proposed in the academic literature, most of them dealing with single‐asset market making whereas market makers are usually in charge of a long list of assets. The rare models tackling multiasset market making suffer however from the curse of dimensionality when it comes to the numerical approximation of the optimal quotes. The goal of this paper is to propose a dimensionality reduction technique to address multiasset market making by using a factor model. Moreover, we generalize existing market‐making models by the addition of an important feature: the existence of different transaction sizes and the possibility for the market makers in OTC markets to answer different prices to requests with different sizes.     

Interdealer trading in futures markets

Trading amongst dealers on the floor of the futures exchange is examined. Since there is only one trading venue, the common floor area, trading between dealers is carried on in the presence of trades involving customer orders as well, offering a unique setting for testing the effect of inventory on dealer pricing. The findings are that these futures floor traders implicitly engage in interdealer trading as an inventory management tool. Interdealer trades are more likely to be position reducing than other trades, at higher costs than offsetting with customers. In addition, the concept of a dealer hierarchy is developed, where some floor traders, who generally are more successful, profit from their trades with other dealers. Furthermore, these more successful traders are more likely to use interdealer trading in position reducing trades, which is consistent with the existence of a dealer hierarchy. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:923–944, 2004     

The primary dealer system in lower-income economies

This work examines the commercial viability of market-making under the primary dealer system (PD system) in the government securities market (GSM) of lower-income economies, using the three-decomposition model developed for bid-ask spread analysis on the U.S. quote-driven stock markets. Evidence suggests that primary dealers (PDs) were not making a market through two-way firm quotes as it would be commercially inviable in lower-income GSMs. The finding of purposely aggressive PDs in high-income economies prompts a further study on an optimal and fair allocation of resources across the primary and secondary markets.     

Competition and the cost of liquidity to investors

The Congressional mandate to develop competitive securities markets in the United States has focused attention on the cost of liquidity to investors. Prior studies have emphasized the impact of external competition in the form of competing markets and/ or competing dealers on the bid-ask spread of the dealer. However, the spread of the specialist (dealer) on the NYSE may or may not be observable because of the interaction between public limit orders and the specialist's quotes. Our study develops a model of this interaction, and empirically verifies that internal competition in the form of limit orders has an important impact on the cost of liquidity to investors.     

Understanding brand and dealer retention in the new car market: The moderating role of brand tier

Dealers may contribute to brand retention through their sales and service efforts. In this study we investigate the degree to which dealers contribute to brand retention and how this contribution is moderated by brand tier. To this end we distinguish between economy, volume and prestige brands. We also investigate how the effectiveness of dealer instruments to increase dealer retention differs across these brand tiers. We collected data on brand retention and dealer retention among consumers who recently purchased a new car. Our findings show that dealers selling volume brands are able to improve brand retention rates. In contrast, dealers of prestige and economy brands are unable to affect brand retention. In line with the notion of brand-dealer fit we also find that the effects of dealer extrinsic service quality and dealer payment equity on dealer retention differ between prestige, volume, and economy brands. Extrinsic dealer service quality has the smallest effect for dealers selling economy brands, while dealer payment equity is the most important determinant of dealer retention for these dealers.     

论我国证券交易中投资者的法律地位

我国《证券法》禁止投资者直接进入证券交易市场 ,投资者要在证券交易市场买卖证券 ,需委托证券商进行。由此产生了投资者与证券商法律关系界定问题 ,我国理论界对此问题意见不一。明确投资者与证券商之间法律关系的性质有助于定位投资者的法律地位 ,从而保护投资者的利益 ,实现资本资源的最优化配置 ,维护证券交易市场的稳定。     

The strategic use of early bird discounts for dealers

We study a widely used ordering process (“Early Bird Discounts”) whereby a profit-maximizing manufacturer permits his dealers to place advance orders at a discount before they set retail prices. We show that such discounts may be used to shift just enough channel profits to dealers to enable them to cover their fixed costs and stay in business. If the manufacturer instead simply cut his wholesale price in order to generate gross margins for his dealers, these margins would soon dissipate as price competition among dealers selling the same product forced retail prices back down to the per-unit cost. We show that when dealer fixed costs are low, the manufacturer offers an Early Bird Discount to his multiple dealers that induces all but two of them to exit; when fixed costs are high, the manufacturer offers no preorder discount (i.e. switches to linear pricing) and induces all but one dealer to exit. Although uniform slotting allowances could also be used to reward dealers, a sales-based alternative like an Early Bird Discount sometimes has a key advantage when the manufacturer has dealers in cities of different sizes. If the same Early Bird Discount is offered, dealers in markets with more consumers, who typically have larger fixed costs, will preorder larger amounts and will automatically receive higher gross margins. To duplicate such payments with slotting allowances, non-uniform allowances would have to be offered to firms in different markets, which is divisive and possibly illegal.     

Choosing and upgrading financial services dealers in the US and UK

This paper addresses a gap in the international literature aimed at understanding the impact of the marketing mix on choosing and upgrading business-to-business financial services dealers. This study involves two important financial services markets (foreign exchange and bonds) in two leading countries in financial services (the United States and the United Kingdom). It provides a comparative analysis of the effectiveness of marketing mix variables (“price”, “product”, and “promotion” in this case) in determining (a) choice of dealers and (b) how a utilized dealer may achieve the sought-after status of being among the top three dealers of a customer. The impact of the marketing mix variables on the choice of dealer is significantly greater in the US relative to the UK. However, a two-stage analysis shows no significant country differences in the impact of the marketing mix on how a dealer is upgraded to a top three status with a customer. Further, the effects of the individual marketing mix variables are more nearly equal in the determination of whether a utilized dealer is among the top three dealers relative to the choice stage. Finally, consistent with our hypothesis, the bond market is more price sensitive relative to foreign exchange and the foreign exchange market is more product sensitive than the bond market.     

Public News Arrival and Cross‐Asset Correlation Breakdown

This study models and tests empirically the role of public news arrivals in the quote matching across single‐stock futures and underlying stock markets—a trading strategy often adopted by algorithmic traders. Our model suggests that quote return correlation across these two markets breaks down when the news uncertainty is sufficiently large and futures market makers switch from automating the quote matching process to manually analyze, monitor, and update quotes. We show empirically that the breakdown is more prominent for large stocks, and this effect of firm size falls during periods of high‐market volatility. Our empirical results are robust to the effect of distraction due to extraneous news events.     

Informed trade in spot foreign exchange markets: an empirical investigation

This paper presents new evidence on information asymmetries in inter-dealer FX markets. We employ a new USD/DEM data set covering the activities of multiple dealers over one trading week. We utilise and extend the VAR structure introduced in Hasbrouck [J. Finance 46(1) (1991) 179] to quantify the permanent effects of trades on quotes and show that asymmetric information accounts for around 60% of average bid-ask spreads. Further, 40% of all permanent price variation is shown to be due to transaction-related information. Finally, we uncover strong time-of-day effects in the information carried by trades that are related to the supply of liquidity to D2000-2; at times when liquidity supply is high, individual trades have small permanent effects on quotes but the proportion of permanent quote variation explained by overall trading activity is relatively high. In periods of low liquidity supply the converse is true—individual trades have large permanent price effects but aggregate trading activity contributes little to permanent quote evolution.     

RISK METRICS AND FINE TUNING OF HIGH‐FREQUENCY TRADING STRATEGIES

We propose risk metrics to assess the performance of high‐frequency (HF) trading strategies that seek to maximize profits from making the realized spread where the holding period is extremely short (fractions of a second, seconds, or at most minutes). The HF trader maximizes expected terminal wealth and is constrained by both capital and the amount of inventory that she can hold at any time. The risk metrics enable the HF trader to fine tune her strategies by trading off different metrics of inventory risk, which also proxy for capital risk, against expected profits. The dynamics of the midprice of the asset are driven by information flows which are impounded in the midprice by market participants who update their quotes in the limit order book. Furthermore, the midprice also exhibits stochastic jumps as a consequence of the arrival of market orders that have an impact on prices which can give rise to market momentum (expected prices to trend up or down). The HF trader's optimal strategy incorporates a buffer to cover adverse selection costs and manages inventories to maximize the expected gains from market momentum.     

Optimal make–take fees for market making regulation

We address the mechanism design problem of an exchange setting suitable make– take fees to attract liquidity on its platform. Using a principal–agent approach, we provide the optimal compensation scheme of a market maker in quasi‐explicit form. This contract depends essentially on the market maker inventory trajectory and on the volatility of the asset. We also provide the optimal quotes that should be displayed by the market maker. The simplicity of our formulas allows us to analyze in details the effects of optimal contracting with an exchange, compared to a situation without contract. We show in particular that it improves liquidity and reduces trading costs for investors. We extend our study to an oligopoly of symmetric exchanges and we study the impact of such common agency policy on the system.     

A secure,real-time stock market protocol

Stock markets constitute the largest electronic commerce market in the world. The tremendous growth in trading volume and the need for fast and accurate transaction execution has made the stock market one of the most technology friendly markets. The fastest growing stock exchange, NASDAQ, is a wholly electronic stock exchange with all transactions conducted over computer networks. However, the transaction model used by NASDAQ and other electronic stock markets still borrows heavily from the older traditional models used by non-electronic stock exchanges. Two important requirements of modern day stock market transactions are: (a) customer's ability to place sophisticated transaction orders to buy/sell stock, and (b) customer's ability to detect transaction delays. Modern electronic stock exchanges lack both the ability to place newer, more sophisticated transaction orders and the ability to detect delays in transaction execution. In this paper, we propose a protocol for stock market transaction that can model a new sophisticated model for transaction orders while continuing to support traditional transaction orders. The protocol is augmented with a mechanism to detect delays in transaction execution. It is further shown that the protocol proposed is secure, atomic, anonymous, private, and incurs low overhead costs. This revised version was published online in June 2006 with corrections to the Cover Date.     

Price discovery in the foreign exchange futures market

Examination is made of the relative contributions to price discovery of the floor and electronically traded euro FX and Japanese yen futures markets and the corresponding retail on‐line foreign exchange spot markets. GLOBEX electronic futures contracts provide the most price discovery in the euro; the on‐line trading spot market provides the most in the Japanese yen. The floor‐traded futures markets contribute the least to price discovery in both the euro and the Japanese yen markets. The overall results show that electronic trading platforms facilitate price discovery more efficiently than floor trading. Futures traders may also extract information from on‐line spot prices. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:1131–1143, 2006     

Currency‐Protected Swaps and Swaptions with Nonzero Spreads in a Multicurrency LMM

Despite the fact that currency‐protected swaps and swaptions are widely traded in the marketplace, pricing models for zero‐spread swaps, and swaptions have rarely been examined in the extant literature. This study presents a multicurrency LIBOR market model and uses it to derive pricing formulas for currency‐protected swaps and swaptions with nonzero spreads. The resulting pricing formulas are shown to be feasible and tractable for practical implementation and their hedging strategies are also provided. Our pricing formulas provide prices close to those computed from Monte Carlo simulation, but involve far less computation time, and thereby offering almost instant price quotes to clients and daily marking‐to‐market trading books, and facilitating efficient risk management of trading positions.     

Volatility,global information,and market conditions: a study in futures markets

This study examined the behavior of return volatility in relation to the timing of information flow under different market conditions influenced by trading volume and market depth. We emphasized information flow during trading and nontrading periods that may represent domestic and offshore information in the global trading of currencies. Test results show that volatility was negatively related to market depth; that is, deeper markets had relatively less return volatility. Additionally, the effect that market depth had on volatility was superseded by information within trading volume. Test results focusing on the timing of information flow reveal that in low‐volume markets, the volatility of nontrading‐period returns exceeded the volatility of trading‐period returns. However, when trading volume was high, this pattern was reversed and conformed to the observations of earlier articles. Our findings proved to be robust across time, different currency markets, and different measures of return volatility. We also observed a trend toward greater integration between foreign and U.S. financial markets; the U.S. market increasingly emphasized information from nontrading periods to supplement information arriving during trading periods. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:173–196, 2001     

Using diffusion models to forecast market size in emerging markets with applications to the Chinese car market

Marketing managers have to forecast the market size and this forecast guides strategic decisions whether to continue exporting, open new factories or expand existing production operations. Forecasting sales and the market size is a challenging task; even more so in emerging markets where data is limited and the market demand is changeable. This research proposes a novel approach that applies diffusion models using car ownership data to forecast car sales. Car ownership data may be easier to access than sales data in emerging markets but marketing managers are more interested in the sales forecast. Researchers propose using diffusion models to forecast the adoption of new products or products which are new to consumers in a market. This research demonstrates that marketing managers can use diffusion models to predict car sales in China where cars are new products to most consumers in this market. Since the majority of car buyers in China are first time buyers, car manufacturers and retailers must also forecast when the market composition will change. This effectively means predicting when first time car buying will start to slow down and repeat/replacement purchase or second hand car purchase will become more important. To forecast both sales and market composition change, marketing managers must choose a robust model. Managers want insights from models that have been tested robustly especially in less stable market conditions. In this context, this study illustrates the value of using a rolling forecast instead of a fixed horizon approach when comparing and choosing which model to use to forecast both sales and market composition change for the Chinese car market.