Reading 29 Execution of Portfolio Decisions Flashcards
Discuss the adverse selection risk faced by a dealer
When a trader has information that a dealer does not, the trader profits at the dealers expense. Traders are more likely to trade when they have information that others do not. This results in adverse selsection risk for the dealer. The trader
s profit is the dealer`s loss once the information is revealed to the market.
Soft dollars
The use of commissions to buy services other than execution services. Also called soft dollar arrangements or soft commissions.
Special types of trades
- Principal trade. A principal trade is a trade with a broker in which the broker commits capital to facilitate the prompt execution of the trader’s order to buy or sell. Principal trades are used most frequently when the order is larger and/or more urgent than can be accommodated within the normal ebb and flow of exchange trading. A price concession provides an incentive for the broker acting as a principal in the trade.
- Portfolio trade (or program trade or basket trade). A portfolio trade involves an order that requires the execution of purchases (or sales) in a specified basket (list) of securities at as close to the same time as possible. For example, an S&P 500 index fund manager with new cash to invest could execute a portfolio trade to buy the S&P 500 (the shares in the S&P 500 in their index weights). Portfolio trades are often relatively low cost because the diversification implied by multiple security issues reduces the risk to the other side of the trade.
The Trade Management Guidelines
The Trade Management Guidelines are divided into three areas: processes, disclosures, and record keeping:
- Processes. Firms should establish formal policies and procedures that have the ultimate goal of maximizing the asset value of client portfolios through best execution. A firm’s policies and procedures should provide guidance to measure and manage effectively the quality of trade decisions.
- Disclosures. Firms should disclose to clients and prospects 1) their general information regarding trading techniques, venues, and agents and 2) any actual or potential trading-related conflicts of interest. Such disclosure provides clients with the necessary information to help them assess a firm’s ability to deliver best execution.
- Record keeping. Firms should maintain proper documentation that supports 1) compliance with the firm’s policies and procedures and 2) the disclosures provided to clients. In addition to aiding in the determination of best execution, the records may support a firm’s broker selection practices when examined by applicable regulatory organizations.
Markets are organized to provide? (main features)
Markets are organized to provide:
- liquidity (the ability to trade without delay at relatively low cost and in relatively large quantities),
- transparency (availability of timely and accurate market and trade information),
- assurity of completion (trades settle without problems under all market conditions—trade settlement involves the buyer’s payment for the asset purchased and the transfer of formal ownership of that asset).
Factors that contribute to making a market liquid
Liquidity adds value to the companies whose securities trade on the exchange. Investors will pay a premium for securities that possess the valuable trait of liquidity. Higher security prices enhance corporate value and lower the cost of capital.
Many factors contribute to making a market liquid:
- Many buyers and sellers. The presence of many buyers and sellers increases the chance of promptly locating the opposite side of a trade at a competitive price. Success breeds success in that the liquidity resulting from many buyers and sellers attracts additional participants to the market. Investors are more willing to hold shares that they can dispose of whenever they choose to do so.
- Diversity of opinion, information, and investment needs among market participants. If the investors in a given market are highly alike, they are likely to want to take similar investment actions and make similar trades. Diversity in the factors described above increases the chance that a buyer of a security, who might have a positive opinion about it, can find a seller, who might have a negative opinion about it or a need for cash. In general, a large pool of investors enhances diversity of opinion.
- Convenience. A readily accessible physical location or an easily mastered and well-thought-out electronic platform attracts investors.
- Market integrity. Investors who receive fair and honest treatment in the trading process will trade again. The ethical tone set by professional market operatives plays a major role in establishing this trust, as does effective regulation. For example, audits of the financial condition and regulatory compliance of brokers and dealers operating in a market increase public confidence in the market’s integrity, as do procedures for the disinterested investigation of complaints about the execution of trades.
Implementation shortfall approach
Probably the most exact approach to cost measurement—and one not vulnerable to gaming—is the implementation shortfall approach. The approach involves a comparison of the actual portfolio with a paper portfolio, using a price benchmark that represents the price when the decision to trade is made (when the trade list is cut).
Implementation shortfall is defined as the difference between the money return on a notional or paper portfolio in which positions are established at the prevailing price when the decision to trade is made (known as the decision price, the arrival price, or the strike price) and the actual portfolio’s return. The implementation shortfall method correctly captures all elements of transaction costs. The method takes into account not only explicit trading costs, but also the implicit costs, which are often significant for large orders.
Implementation shortfall can be analyzed into four components:
- Explicit costs, including commissions, taxes, and fees.
- Realized profit/loss, reflecting the price movement from the decision price (usually taken to be the previous day’s close) to the execution price for the part of the trade executed on the day it is placed.
- Delay costs (slippage), reflecting the change in price (close-to-close price movement) over the day an order is placed when the order is not executed that day; the calculation is based on the amount of the order actually filled subsequently.
- Missed trade opportunity cost (unrealized profit/loss), reflecting the price difference between the trade cancellation price and the original benchmark price based on the amount of the order that was not filled
The shortfall computation is simply reversed for sells (for sells, the return on the paper portfolio is subtracted from the return on the actual portfolio).
Opportunistic Participation Strategies
Opportunistic participation strategies also involve trading over time. The opportunistic trading strategy involves passive trading combined with the opportunistic seizing of liquidity. The most common examples are pegging and discretion strategies, in which the trader who wishes to buy posts a bid, hoping others will sell to him or her, yielding negative implicit trading costs. If the bid–offer spread is sufficiently small, however, the trader might buy at the ask. This strategy typically involves using reserve or hidden orders and crossing (internally or externally) to provide additional sources of liquidity at low cost. Because trading is opportunistic, the liquidity strategy is not a true participation strategy.
Simple Logical Participation Strategies
- One of the most popular logical participation strategies involves breaking up an order over time according to a prespecified volume profile. The objective of this volume-weighted average price (VWAP) strategy is to match or improve upon the VWAP for the day.
- The time-weighted average price (TWAP) strategy is a particularly simple variant that assumes a flat volume profile and trades in proportion to time.
- Percentage-of-volume strategy, in which trading takes place in proportion to overall market volume (typically at a rate of 5–20 percent) until the order is completed.
Are econometric models used as ex ante (before the fact) or ex post (after the fact) investment tools?
Actually, they can be used as both. Before the fact, econometric models can assist portfolio managers in determining the size of the trade. After the fact, trading effectiveness can be assessed by comparing actual trading costs to forecasted trading costs from the model.
What are some of the problems in estimating the missed trade opportunity cost?
One of the problems in estimating missed trade opportunity cost is that the estimate depends upon when the cost is measured.
The estimate could vary substantially when a different interval is used to measure the missed trade opportunity cost. Another problem in estimating the missed trade opportunity cost is that it does not consider the impact of order size on prices.
Characteristics of liquid markets
A liquid market is one that has the following characteristics:
- The market has relatively low bid–ask spreads. Such a market is often called tight. Quoted spreads and effective spreads are low. The costs of trading small amounts of an asset are themselves small. As a result, investors can trade positions without excessive loss of value. If bid–ask spreads are high, investors cannot profitably trade on information except when the information is of great value.
- The market is deep. Depth means that big trades tend not to cause large price movements. As a result, the costs of trading large amounts of an asset are relatively small. Deep markets have high quoted depth, which is the number of shares available for purchase or sale at the quoted bid and ask prices.
- The market is resilient. A market is resilient (in the sense used here) if any discrepancies between market price and intrinsic value tend to be small and corrected quickly.
Buy-side tradres, what a portfolio manager has to know/do about executung trading decisions?
Buy-side traders are the professional traders employed by investment managers or institutional investors who place the trades that execute the decisions of portfolio managers. The job of such traders is to execute the desired trades quickly, without error, and at favorable prices.
Execution is the final, critical step in the interlinked investment process: The portfolio decision is not complete until securities are bought or sold.
A portfolio manager is not a professional trader. However, a portfolio manager does need to:
- communicate effectively with professional traders;
- evaluate the quality of the execution services being provided for the firm’s clients; and
- take responsibility for achieving best execution on behalf of clients in his or her role as a fiduciary.
To accomplish those goals, the portfolio manager needs a grounding in:
- the market institutions within which traders work, including the different types of trading venues to which traders may direct orders;
- the measurement of trading costs; and
- the tactics and strategies available to the firm’s traders and the counterparties with whom they deal, including important innovations in trading technology.
Main order types
Market orders and limit orders are the two major types of orders that traders use and that portfolio managers need to understand.
- A market order is an instruction to execute an order promptly in the public markets at the best price available.
* A market order emphasizes immediacy of execution*. However, a market order usually bears some degree of price uncertainty (uncertainty about the price at which the order will execute). In today’s markets, most market orders are effectively automated from the point of origin straight through to reporting and clearing. - A limit order is an instruction to trade at the best price available but only if the price is at least as good as the limit price specified in the order. For buy orders, the trade price must not exceed the limit price, while for sell orders, the trade price must be at least as high as the limit price. An instruction always accompanies a limit order specifying when it will expire.
By specifying the least favorable price at which an order can execute, a limit order emphasizes price. However, limit orders can execute only when the market price reaches the limit price specified by the limit order. The timing of the execution, or even whether the execution happens at all, is determined by the ebb and flow of the market. Limit orders thus have execution uncertainty.
A few additional important order types
- Market-not-held order. This type of order is relevant for trades placed on certain exchanges (regulated trading venues) where an order may be handled by an agent of the trader in executing trades (a broker). This variation of the market order is designed to give the agent greater discretion than a simple market order would allow. “Not held” means that the broker is not required to trade at any specific price or in any specific time interval, as would be required with a simple market order. Discretion is placed in the hands of a representative of the broker (such as a floor broker—an agent of the broker who, for certain exchanges, physically represents the trade on the exchange). The broker may choose not to participate in the flow of orders on the exchange if the broker believes he or she will be able to get a better price in subsequent trading.
- Participate (do not initiate) order. This is a variant of the market-not-held order. The broker is to be deliberately low-key and wait for and respond to initiatives of more active traders. Buy-side traders who use this type of order hope to capture a better price in exchange for letting the other side determine the timing of the trade.
- Best efforts order. This type of order gives the trader’s agent even more discretion to work the order only when the agent judges market conditions to be favorable. Some degree of immediacy is implied, but not immediacy at any price.
- Undisclosed limit order, also known as a reserve, hidden, or iceberg order. This is a limit order that includes an instruction not to show more than some maximum quantity of the unfilled order. For example, a trader might want to buy 200,000 shares of an issue traded on Euronext Amsterdam. The order size would represent a substantial fraction of average daily volume in the issue, and the trader is concerned that share price might move up if the full extent of his or her interest were known. The trader places an undisclosed limit order to buy the 200,000 shares, specifying that no more than 20,000 shares of the unfilled order be shown to the public at a time.
- Market on open order. This is a market order to be executed at the opening of the market. Similarly, a market on close order is a market order to be executed at the market close. These are examples of orders with an instruction for execution at a specific time. The rationale for using these two types of orders is that the opening and close in many markets provide good liquidity.
Automated Trading
Algorithmic trading refers to automated electronic trading subject to quantitative rules and user-specified benchmarks and constraints. Related, but distinct, trading strategies include using portfolio trades, in which the trader simultaneously executes a set of trades in a basket of stocks, and smart routing, whereby algorithms are used to intelligently route an order to the most liquid venue. The term automated trading is the most generic, referring to any form of trading that is not manual, including trading based on algorithms.
The underlying logic behind algorithmic trading is to exploit market patterns of trading volume so as to execute orders with controlled risk and costs. This approach typically involves breaking large orders up into smaller orders that blend into the normal flow of trades in a sensible way to moderate price impact.
Meat-grinder effect: In order for a large equity order to get done, it must often be broken up into many smaller orders.
Chief ways trading is organized
The chief ways trading is organized:
- Quote-driven (or dealer) markets, in which members of the public trade with dealers rather than directly with one another.
- Order-driven markets, in which members of the public trade with one another without the intermediation of dealers.
- Brokered markets, in which the trader relies on a broker to find the other side of a desired trade.
Summary of Trading Motivations, Time Horizons, and Time versus Price Preferences
1. Information-motivated trader
Motivation: New information
Trading Time Horizon: Minutes to hours
Time versus Price Preference: Time
2. Value-motivated trader
Motivation: Perceived valuation errors
Trading Time Horizon: Days to weeks
Time versus Price Preference: Price
3. Liquidity-motivated trader
Motivation: Invest cash or divest securities
Trading Time Horizon: Minutes to hours
Time versus Price Preference: Time
4. Passive trader
Motivation: Rebalancing, investing/divesting cash
Trading Time Horizon: Days to weeks
Time versus Price Preference: Price
5. Dealers and day traders
Motivation: Accommodation
Trading Time Horizon: Minutes to hours
Time versus Price Preference: Passive, indifferent
Order-Driven Markets
Order-driven markets are markets in which transaction prices are established by public limit orders to buy or sell a security at specified prices. Such markets feature trades between public investors, usually without intermediation by designated dealers (market makers).
For equity markets, a worldwide trend has favored order-driven markets at the expense of quote-driven markets. Various types of order-driven markets are distinguished:
1. Electronic Crossing Networks
In using crossing networks, both buyer and seller avoid the costs of dealer services (the bid–ask spread), the effects a large order can have on execution prices, and information leakage. Commissions are paid to the crossing network but are typically low. However, crossing participants cannot be guaranteed that their trades will find an opposing match: The volume in a crossing system is determined by the smallest quantity submitted.
Crossing networks provide no price discovery. Price discovery means that transaction prices adjust to equilibrate supply and demand.
! Crossing networks maintain complete confidentiality not only in regard to the size of the orders and the names of the investors placing the orders, but also in regard to the unmatched quantities.
2. Auction Markets
Many order-driven markets are auction markets—that is, markets in which the orders of multiple buyers compete for execution. Auction markets can be further categorized into periodic auction markets or batch auction markets (where multilateral trading occurs at a single price at a prespecified point in time) and continuous auction markets (where orders can be executed at any time during the trading day).
In contrast to electronic crossing markets, auction markets provide price discovery, lessening the problem of partial fills that we illustrated above for crossing networks.
3. Automated Auctions (Electronic Limit-Order Markets)
Electronic communications networks (ECNs) - these are computer-based auctions that operate continuously within the day using a specified set of rules to execute orders.
Automated auctions have been among the fastest-growing segments in equity trading. ECNs in particular have blurred the traditional difference between order-driven markets and quote-driven dealer markets. In an ECN, it can be difficult to distinguish between participants who are regulated, professional dealers and other participants who, in effect, are also attempting to earn spread profits by providing liquidity. Hedge funds or day traders, for example, might actively supply liquidity to the market to capture the dealer-like spread profits. From the perspective of an investor, the result is added liquidity and tighter spreads.
Direct market access, the key function of trade desk organization
Direct market access (DMA) refers to platforms sponsored by brokers that permit buy-side traders to directly access equities, fixed income, futures, and foreign exchange markets, clearing via the broker. Trades executed via DMA now represent a substantial fraction of buy-side equity order volume in a number of developed markets.
The key function of trade desk organization is to prioritize trading. Good desks quickly identify the dangerous trades and assign the priority. They know how their managers think, in general and in relation to the specific individual trade. They attune the mix of brokers to their trading needs, often concentrating trading to increase their clout. Finally, they are constantly innovating and experimenting, trying new trade routes and refining desk processes.