L2 - Transparency, Anonymity, Fragmentation Flashcards

1
Q

Anonymity

A

Info disclosure not the same in all markets
information transparency is different
diff set of regulation but for all:
B/S have to be the best execution conditions (otherwise traders can choose between diff. markets - making price more competitive?)

but problem: inclusion of fees?

relationship Annonimity vs liquidity
Anonymity is not compulsory &depends on:
a) traders decisions
b) transactions

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2
Q

Annonimity

Transparency

A

discrepancy of transparency:

  • dark pools
  • systematic internaliser
  • regulated markets
  • alternative platform
  • -> to check if alternative transparency have consequence on market quality
  • -> one has to focus on one specific change
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3
Q

Liquidity Variables

A

quotes Spread (QSp) - average of intraday relative quoted spread

DWQSp - average intraday quoted spreads weighted by depths (5 levels LOB)

Lambda - amount of money needed to mov the mid-price 100 Bpa. on both sides of the LOB

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4
Q

Anonymity Variable

A

Anon
–> proxy for the amount of transactions that are anonymous

Anon = Anon.Effective Volume/ Total Eff. Volume

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5
Q

Control Variables

A

volatility
absolute value of daily returns for each firm
don´t consider intraday estimators because of lack of intraday data

effective volume:
logarithm of total EV in Euros traded in all the venues of each firm

inverse of the closing price of each firm

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6
Q

Market Competition
Definition
History

A

traditionally:

  • Europe: Monopoly
  • US: 2 main markets &regional exchanges
  • Buyer - Seller - Broker - Market SE

Increase in competition:

  • market liberalisation (mifid 1 and 2)
  • business globalisation (many traders around he world)
  • development of Info. Technology (elect. platform, internal centraliser)

Competitors are parallel markets where operations of any value can be executed
-ATs alternative trading systems
- ECN elect. communication Network
MTF (multilateral treading facilities)

Examples: BATS
Nowadays:
- the ECN or broker decides what to do with order:
a) hold it internally
b) place it on the market (market SE)
c) sent it to some trading platform (Market AS)

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7
Q

Competition between markets

Europe

A

European competition

  • platform selling information to choose from:
    a) regulated markets
    b) MTF lit
    c) MTF dark pools
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8
Q

Competition between markets

Mifid

A

situation arises because of competition to capture order traffic
Results of competition:
a) positive: lower costs (fees); new services (after-hours trading)
b) negative: fragmentation (less liquidity in each market)
less information (legislation tries to eliminate this effect, mifid 2)

Reaction:
- most markets decided to increase size
- integrating with markets of other countries
- incorporating diff. market segments in a single country
E.g.
Euronext = Paris, Brusells, Amsterdam
NYSE and Euronext merge
Nasdaq and OMX (baltic)
LSE and DB - but eu. commission block merge
BME bought by SIX (swiss)

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9
Q

Fragmentation

A

no competition between regulated markets (e..g spanish stocks traded mostly in home country)
bu COVId:
moved volume from platforms –> regulated (since RM are info providers)

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10
Q

Impact of Fragmentation to Liquidity

A

it is relevant to determine cost of liquidity SSE
linear term improves, but quadratic term deteriorates liquidity
beyond specific levels of fragmentation, increasing F makes liquidity worsening in RM

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11
Q

Algo &ultra HFT

A

technology plays important role in transaction technology
rise of machines - how technology impacts business landscape is impressive

ALGO - use of computers to manage the trading process
HTF - similar but holding shorter periods (mill/naosecs)

collocation: around the markets (renting place)
but Mifid doesn´t allow this, hence buy/rent capacity of the cable (send messages)

bt programmes have to adapt: price correlation affect by environemt/assets

latency - measures the time B–> M sends and M takes order

technology provides tools to make decisions in small time

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12
Q

A) Human decision ecosystem

A

decisions made by humns takes tim to process information (brain)
from the information to posting (processing and take info of what to buy an sell) - 1 min
not the case with machines

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13
Q

B) Algo-machines ecosystem

A

few millisecs needed to decide what to do
Innovation:
-a) spread networks - fiber optic innovation
- only tiny time saved of communication time, but enough to make profit
- HFT making money of B/S could save cost of $300mill with tiny fraction of time saved

b) microwaves
- HFT firm wants to develop a high-speed trading network by a tower between Britain and EU
- “flash boy” - build a tower
- move from five to microwave for long-distance trading
- mw travelling in air suffer less than 1% speed reduction compared to light travelling in vacuum, and light traveling with fiber is 30% slower
- bad news: RAIN!!

Machines control over 70% of volume in the WORLD

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14
Q

Impact on US Markets

A

volume hasn´t changed much bt nr. of messages (order, sell, cancel) has increase

Vol/Messages has decreased (as messageshas increased more than vol traded)
cost/money made per transaction is smaller, but more transaction at smaller price made

market manipulation has increased
pc 100 - machines sends order but in lss than 100millsecs its canceled
post-cancelling activities have increased

large movements in the market but without any actual transaction of volume taken place
many transaction at the same time
e.g. 200 transactions but only 35 actual tades

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15
Q

Regulatory Bodies &Market Participants distinguished

a) bad HFT

A

adv. over other MP and ability to detect market inefficiencies( arbitrage opportunities)
charges:

FRONTRUNNING
- early access to quotes, hence buy low and sell high later

quote STUFFING: market manipulation by sending fast, withdrawing large nr. of orders

  • high speed of operation it creates false impression of market situation - hence others execute against phantom orders
  • create noise
  • markets slow down but HFT obtain speed advantage

Quote SPOOFING:
- adding visible order(s) that creates new best B/O or adds significantly to the liquidity displayed at existing best B/O)
- but offer is cancelled prior to deal´s execution
- and during this time trader executes order on the opposite time
- creates false sentiment in market
- trade can manipulate the actions of the market participants, change price of security
- execution occur at a favourable price for trader, then it would obtained with absence of these first orders
= market manipulation

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16
Q

Regulatory Bodies &Market Participants distinguished

a) the goof HFT

A
  • HFT MM place order at both side - hence always exposed to movements against them
  • greatest threat: inability to quickly respond to changing market situation (and s.o. could actually realised their late orders)
  • investment in infrastructure - able to improve situation in terms of risk profile
  • LT positive quality impacting on entire market is the INCREASE IN SPEED concludes to:
  • -> narrowing B/O spread
  • -> reduce transaction costs for other M. participants
  • -> increase liquidity in the instruments
17
Q

HFT and Market Quality

A

HFT industry revenue from US equities markets

  • revenue has increased (throughout the years)
  • smaller volumes (fall in market volatility) dents the business
  • some are quitting as benefits are decreasing

Academic results:
empirical side answer is positive:
- Algos activity reduces spreads, adverse selection, trade related price discovery
- effects are stronger for large cap stock
- increase in low-latency activity (algorithm trading)
–> lower St volatility, spread and increased depth

negative:
- HFT in LOb induces volatility in a market´s B/O quotes which degrades informational content on quotes
- higher UFA has strong effect with lower MQ (greater spread but lower depth)

FlashCrash 2006:

  • DowJones Industrial Average crash
  • can be viewed as culmination of years of a regulatory shift towards an era of fast trading
18
Q

impact of Mifid 1&2 regulation

Example: Fragmentation Spanish Stock Exchange

A

competition is a reality in all the European Cash Markets.
A natural consequence of competition is that order flow is fragmented in different type of venues

main result shows that fragmentation is relevant determining the cost of liquidity.
a) linear component of fragmentation has a positive and significant effect on liquidity (reduces spreads and increases Kyle’s Lambda)

b) the quadratic term has a negative and significant effect on liquidity (increases spreads and reduces Kyle’s Lambda).

So, fragmentation is good for liquidity but beyond a given level of fragmentation, increasing it is worse for the liquidity of the regulated market.