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R30 execution of portfolio decisions

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The Context of Trading: Market MicrostructureEmphasize immediacy Some degree of price uncertainty... Effective Spread = 2 x deviation of the actual execution price from the midpoint of t

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Reading 30

Execution of Portfolio Decisions

www.irfanullah.co

Graphs, charts, tables, examples, and figures are copyright 2014, CFA Institute Reproduced

and republished with permission from CFA Institute All rights reserved.

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1 Introduction

2 The Context of Trading: Market Microstructure

3 The Costs of Trading

4 Types of Traders and their Preferred Order Types

5 Trade Execution Decisions and Tactics

6 Serving the Client’s Interests

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1 Introduction

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2 The Context of Trading: Market Microstructure

Emphasize immediacy

Some degree of price uncertainty

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Emphasize price

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Bid-Ask Spread

Dealer vs Trader

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Inside Bid Or Market Bid

Inside Ask or Market Ask

Market Bid-Ask Spread

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Effective Spread = 2 x deviation of the actual execution price from the midpoint of the

market quote at the time an order is entered

Effective spread is a better representation of actual transaction cost because it captures both:

1 Price Movement: execution within quoted spread

Bid-Ask Spread Versus Effective Spread as a Measure of Trading Cost

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Bid-Ask Spread = 0.06 Midquote = 20.00

Effective Spread:

2 x (20.01 – 20.00)

= 0.02

Average effective spread is the

mean effective spread over alltransactions in the stock in the

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1 For each of these market orders, compute the quoted spread Also, compute the average quoted spread for the stock for the day.

2 For each order, compute the effective spread Also, compute the average effective spread and the share-volume-weighted effective spread for the stock for the day.

3 Discuss the relative magnitudes of quoted and effective spreads for each of the three orders.

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2

3

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Factors like price and time determine which

orders are executed

Crossing networks provide no price discovery

Partial fill

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Block order is an order to sell or buy in a quantity that is large relative to the liquidity

ordinarily available from dealers

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Broker is an agent of the investor (trader) Receives a commission and provides various

execution services, such as:

1 Representing the order

2 Finding the opposite side of the trade

3 Supplying market information

4 Providing discretion and secrecy

5 Providing other supporting investment services

6 Supporting the market mechanism

Dealer is a counterparty to the investor (trader) There is an inherent conflict of interest.

Dealer faces adverse selection risk: the risk of trading with a more informed trader

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Liquid markets have the following characteristics:

1) Low bid-ask spread

2) Market is deep

3) Market is resilient (efficient)

Advantages of high liquidity:

1 Traders can trade rapidly without impacting price

2 Lower cost of capital for corporations

Factors contributing to market liquidity:

1 Many buyers and sellers

2 Diversity of opinion, information and investment

needs among market participants

3 Convenience

4 Market integrity

Participants can easily, quickly andinexpensively obtain information about

quotes and trades (pre-trade transparency)

and details on completed trades are quicklyreported to the public (post-trade

transparency).

Low transparency compromises marketintegrity

Buyers and sellers confident that trade will

be completed Brokers or clearing entitiesmight provide guarantees

Assurity of Completion

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3 The Cost of Trading

• Trading costs represent negative performance

• Understand trading costs

• Transaction cost components

 Bid-ask spread

 Market impact

 Missed trade opportunity costs

 Delay costs

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Traders measure implicit costs (i.e., costs excluding commissions) with reference to a

benchmark

Time-of-trade midquote

Volume weighted average price (VWAP): weighted average price at which the security

traded during the day

Less informative for relatively large trades

Can be gamed

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Implementation shortfall is possibly the best cost measurement approach

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Calculation of implementation shortfall: paper portfolio return – actual return

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Say market has gone up by 1% over trading period and stock beta = 1  predicted return on share =1%

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Read Example 6 and Example 7

Many people focus on commission costs because these are

observable

We should recognize that major parts of transaction costs are unobservable

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Estimated cost function can be used in two ways:

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Example 8: An Econometric Model for Transaction Costs

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4 Types of Traders and Their Preferred Order Types

Preferred Order Type

MarketLimitMarket, other order typesalso used

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5 Trade Execution Decisions and Tactics

Decisions Related to Handling of a Trade

Objectives in Trading and Trading Tactics

Automated Trading

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Decisions Related to Handling of a Trade

• Small, liquidity-oriented trades can be packaged up and executed via direct

market access (DMA) and algorithmic trading

 DMAs are broker-sponsored platforms which allow buy-side traders to directly access

securities

• Large, information laden trades demand immediate skilled attention

• Traders should be aware of client trading restrictions, cash balances and

brokerage allocations

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Objectives in Trading and Trading Tactics

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Automated (Algorithmic) Trading

• Algorithmic trading refers to automated electronic trading subject to

quantitative rules and user-specified benchmarks and constraints

• Exploit market patterns of trading volume so as to execute orders with

controlled risk and costs

• Example 9 and Example 10: Break large order into small pieces

• Several types of algorithmic trading

 Simple logical participation strategies

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Algorithmic Trading Classification

• Simple logical participation strategies

 Volume-weighted average price (VWAP) strategy:

match or improve upon VWAP for the day Typically

the trader attempts to match the expected volume

pattern over the day

 Time-weighted average price (TWAP) strategy is a

simple variant of the VWAP strategy that assumes a

flat volume profile

• Implementation shortfall strategies

 Minimize trading costs as measured by

implementation shortfall method

 Concerned about opportunity cost related to

adverse price movement  transactions are

front-loaded

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Summary output from a trader’s order management system or trade blotter

What tactics are appropriate for each order?

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6 Serving the Client’s Interests

• CFA Institute’s Trade Management Guidelines offer investment managers

“a framework from which to make consistently good trade execution

suggestions…”

 Best execution: the trading process investment management firms apply that seeks

to maximize the value of the client’s portfolio

 Trade Management Guidelines are divided into three areas: processes, disclosures

and record keeping

• Ethical focus for portfolio manager and buy-side trader must be the

interests of the client

 Buy-side trader acts in a fiduciary capacity, with access to the client’s assets

 Code of both buy-side and sell-side traders is that verbal agreements will be

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• Market Microstructure

 Order Types

 Market Types and Market Quality

• The Costs of Trading

 Cost components

 Cost benchmarks: VWAP, Implementation Shortfall (Exhibit 6)

• Types of Traders and their Preferred Order Types

• Trade Execution Decisions and Tactics

 Exhibit 9

 Algorithmic Trading

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