Volume-weighted average price

Last updated

In finance, volume-weighted average price (VWAP) is the ratio of the value of a security or financial asset traded to the total volume of transactions during a trading session. It is a measure of the average trading price for the period. [1]

Contents

Typically, the indicator is computed for one day, but it can be measured between any two points in time.

VWAP is often used as a trading benchmark by investors who aim to be as passive as possible in their execution. Many pension funds, and some mutual funds, fall into this category. The aim of using a VWAP trading target is to ensure that the trader executing the order does so in line with the volume on the market. It is sometimes argued that such execution reduces transaction costs by minimizing market impact costs (the additional cost due to the market impact, i.e. the adverse effect of a trader's activities on the price of a security). [2]

VWAP is often used in algorithmic trading. A broker may guarantee the execution of an order at the VWAP and have a computer program enter the orders into the market to earn the trader's commission and create P&L. This is called a guaranteed VWAP execution. The broker can also trade in a best effort way and answer the client with the realized price. This is called a VWAP target execution; it incurs more dispersion in the answered price compared to the VWAP price for the client but a lower received/paid commission. Trading algorithms that use VWAP as a target belong to a class of algorithms known as volume participation algorithms.

The first execution based on the VWAP was in 1984 for the Ford Motor Company by James Elkins, then head trader at Abel Noser. [3]

Formula

VWAP is calculated using the following formula:

where:

is Volume Weighted Average Price;
is price of trade ;
is quantity of trade ;
is each individual trade that takes place over the defined period of time, excluding cross trades and basket cross trades. [4]

Using the VWAP

The VWAP can be used similar to moving averages, where prices above the VWAP reflect a bullish sentiment and prices below the VWAP reflect a bearish sentiment. Traders may initiate short positions as a stock price moves below VWAP for a given time period or initiate long positions as the price moves above VWAP. [5]

Institutional buyers and algorithms often use VWAP to plan entries and initiate larger positions without disturbing the stock price. [4]

VWAP slippage is the performance of a broker, and many Buy-side firms now use a Mifid wheel to direct their flow to the best broker.

See also

Related Research Articles

In finance, technical analysis is an analysis methodology for analysing and forecasting the direction of prices through the study of past market data, primarily price and volume. Behavioral economics and quantitative analysis use many of the same tools of technical analysis, which, being an aspect of active management, stands in contradiction to much of modern portfolio theory. The efficacy of both technical and fundamental analysis is disputed by the efficient-market hypothesis, which states that stock market prices are essentially unpredictable, and research on whether technical analysis offers any benefit has produced mixed results.

<span class="mw-page-title-main">Day trading</span> Buying and selling financial instruments within the same trading day

Day trading is a form of speculation in securities in which a trader buys and sells a financial instrument within the same trading day, so that all positions are closed before the market closes for the trading day to avoid unmanageable risks and negative price gaps between one day's close and the next day's price at the open. Traders who trade in this capacity are generally classified as speculators. Day trading contrasts with the long-term trades underlying buy-and-hold and value investing strategies. Day trading may require fast trade execution, sometimes as fast as milli-seconds in scalping, therefore a direct-access day trading software is often needed.

In financial markets, market impact is the effect that a market participant has when it buys or sells an asset. It is the extent to which the buying or selling moves the price against the buyer or seller, i.e., upward when buying and downward when selling. It is closely related to market liquidity; in many cases "liquidity" and "market impact" are synonymous.

A binary option is a financial exotic option in which the payoff is either some fixed monetary amount or nothing at all. The two main types of binary options are the cash-or-nothing binary option and the asset-or-nothing binary option. The former pays some fixed amount of cash if the option expires in-the-money while the latter pays the value of the underlying security. They are also called all-or-nothing options, digital options, and fixed return options (FROs).

In finance, the beta is a measure of how an individual asset moves when the overall stock market increases or decreases. Thus, beta is a useful measure of the contribution of an individual asset to the risk of the market portfolio when it is added in small quantity. Thus, beta is referred to as an asset's non-diversifiable risk, its systematic risk, market risk, or hedge ratio. Beta is not a measure of idiosyncratic risk.

Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. This type of trading attempts to leverage the speed and computational resources of computers relative to human traders. In the twenty-first century, algorithmic trading has been gaining traction with both retail and institutional traders. It is widely used by investment banks, pension funds, mutual funds, and hedge funds that may need to spread out the execution of a larger order or perform trades too fast for human traders to react to. A study in 2019 showed that around 92% of trading in the Forex market was performed by trading algorithms rather than humans.

A crossing network is an alternative trading system (ATS) that matches buy and sell orders electronically for execution without first routing the order to an exchange or other displayed market, such as an electronic communication network (ECN), which displays a public quote. These broker-dealers employ computerized systems to match buyers and sellers of large blocks of shares without using the stock exchange. Depending on the particular broker-dealer's system and the type of securities traded, these crosses could occur at various times during the day, or after the close of trading, and could be priced at the last sale price or some other objective price, such as the midpoint between the bid and offer or the volume weighted average price (VWAP). The advantage of the crossing network is the ability to execute a large block order without impacting the public quote. Crossing networks tend to be used for highly liquid stocks and offer money managers the advantages of very low commissions, anonymity for the buying or selling account, and avoidance of market impact.

Best execution refers to the duty of an investment services firm executing orders on behalf of customers to ensure the best execution possible for their customers' orders. Some of the factors the broker must consider when seeking best execution of their customers' orders include: the opportunity to get a better price than what Is currently quoted, and the likelihood and speed of execution.

In financial markets, implementation shortfall is the difference between the decision price and the final execution price for a trade. This is also known as the "slippage". Agency trading is largely concerned with minimizing implementation shortfall and finding liquidity.

In finance, time-weighted average price (TWAP) is the average price of a security over a specified time.

Direct market access (DMA) is a term used in financial markets to describe electronic trading facilities that give investors wishing to trade in financial instruments a way to interact with the order book of an exchange. Normally, trading on the order book is restricted to broker-dealers and market making firms that are members of the exchange. Using DMA, investment companies and other private traders use the information technology infrastructure of sell side firms such as investment banks and the market access that those firms possess, but control the way a trading transaction is managed themselves rather than passing the order over to the broker's own in-house traders for execution. Today, DMA is often combined with algorithmic trading giving access to many different trading strategies. Certain forms of DMA, most notably "sponsored access", have raised substantial regulatory concerns because of the possibility of a malfunction by an investor to cause widespread market disruption.

An automated trading system (ATS), a subset of algorithmic trading, uses a computer program to create buy and sell orders and automatically submits the orders to a market center or exchange. The computer program will automatically generate orders based on predefined set of rules using a trading strategy which is based on technical analysis, advanced statistical and mathematical computations or input from other electronic sources.

In economics and finance, the price discovery process is the process of determining the price of an asset in the marketplace through the interactions of buyers and sellers.

An electronic trading platform is a piece of computer software that allows users to place orders for financial products over a network with a financial intermediary. These products include stocks, bonds, currencies, commodities, and derivatives. The first widespread electronic trading platform was Nasdaq. The availability of such trading platforms to the public has encouraged a surge in retail investing.

High-frequency trading (HFT) is a type of algorithmic financial trading characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data and electronic trading tools. While there is no single definition of HFT, among its key attributes are highly sophisticated algorithms, co-location, and very short-term investment horizons. HFT can be viewed as a primary form of algorithmic trading in finance. Specifically, it is the use of sophisticated technological tools and computer algorithms to rapidly trade securities. HFT uses proprietary trading strategies carried out by computers to move in and out of positions in seconds or fractions of a second.

<span class="mw-page-title-main">MetaTrader 4</span> Electronic trading software

MetaTrader 4, also known as MT4, is an electronic trading platform widely used by online retail foreign exchange speculative traders. It was developed by MetaQuotes Software and released in 2005. The software is licensed to foreign exchange brokers who provide the software to their clients. The software consists of both a client and server component. The server component is run by the broker and the client software is provided to the broker’s customers, who use it to see live streaming prices and charts, to place orders, and to manage their accounts.

Smart order routing (SOR) is an automated process of handling orders, aimed at taking the best available opportunity throughout a range of different trading venues.

Bloomberg Tradebook, LLC., the agency broker of Bloomberg L.P., serves global investment advisors, money managers, hedge funds, proprietary desks and broker dealers, with access to global trading venues, proprietary trading algorithms, execution consulting services, pre-and-post trade analytics and independent research. Through a trading platform integrated with the Bloomberg Professional service, Bloomberg Tradebook provides its customers with direct market access to more than 110 markets and global trading solutions for equities, futures, and options across 44 countries, as well as 43 currency pairs. Tradebook offers over 55 proprietary algorithms designed for each asset class and market.

<span class="mw-page-title-main">Interactive Brokers</span> American financial services firm

Interactive Brokers LLC (IB) is an American multinational brokerage firm. It operates the largest electronic trading platform in the U.S. by number of daily average revenue trades. The company brokers stocks, options, futures, EFPs, futures options, forex, bonds, and funds.

Transaction cost analysis (TCA), as used by institutional investors, is defined by the Financial Times as "the study of trade prices to determine whether the trades were arranged at favourable prices – low prices for purchases and high prices for sales". It is often split into two parts – pre-trade and post-trade. Recent regulations, such as the European Markets in Financial Instruments Directive, have required institutions to achieve best execution.

References

  1. Berkowitz, Stephen A.; Logue, Dennis E.; Noser, Eugene A. J. (March 1988). "The Total Cost of Transactions on the NYSE". Journal of Finance. American Finance Association. 43 (1): 97–112. doi: 10.1111/j.1540-6261.1988.tb02591.x .
  2. "Stock Average Calculator". Stock Average Calculator. Retrieved 2022-07-30.
  3. "Volume Weighted Average Price". www.mql5.com. MQL5. Retrieved 21 July 2020.{{cite web}}: External link in |ref= (help)
  4. 1 2 "Volume Weighted Average Price (VWAP) Definition". Investopedia. Retrieved June 14, 2012.
  5. "Volume Weighted Average Price". Investors Underground. Investors Live LLC. Retrieved 29 June 2016.