FX Market Organization

Explaining the institutional structure of FX market requires introducing formal definitions of market organization. According to Lyons Lyons2002, these are:

The FX market is a kind of decentralized multiple-dealer market. There is no single indicator that would show the best bid and the best ask. Hence, the market transparency is low. It is especially important at tail events. It is hard to determine when the market was at a given time and findings are usually spurious. The foreign exchange market is perceived as the largest and most liquid one, with a year-on-year turnover of \texteuro 69 trillion.

market_share = c(
  0.1611,
  0.1454,
  0.0811,
  0.0765,
  0.0730,
  0.0622,
  0.0540,
  0.0365,
  0.0340,
  0.0338,
  0.0243,
  0.0240,
  0.0197,
  0.0166,
  0.0155
  )

The FX market is an over the counter, global (OTC) market, i.e. participants can trade currencies with relatively low level of legal obstacles. The market core is built up by the biggest banks in the world. Hence, the FX organization is often referred as an inter-bank market. The participants of the FX market differ by access, spreads, impact, turnover they generate, order size, and purpose. They can be divided into five main groups:

library(xtable)
require(pander)

df <- data.frame(Rank=seq_len(15),
                 Bank=c('Citi','Deutsche Bank','Barclays','JPMorgan','UBS','Bank of America Merrill Lynch',
                        'HSBC','BNP Paribas','Goldman Sachs','RBS','Societe Generale','Standard Chartered',
                        'Morgan Stanley','Credit Suisse','State Street'),
                 MarketShare=market_share)
strCaption <- paste0("Market share of top financial institutions in FX trading in 2014")

print(xtable(df, digits=2, caption=strCaption, label="table_turnover_banks",
      size="footnotesize", #Change size; useful for bigger tables
      include.rownames=FALSE, #Don't print rownames
      include.colnames=FALSE, #We create them ourselves
      caption.placement="top"
      ),type='html')
#pandoc.table(df,style='grid')

In last years, there have been observed shifting towards eFX. Commercial banks, as mentioned in the previous subsection, are subject to new regulations. Therefore, right now they are more concerned about increasing their turnover than benefiting off a good view (speculation). eFX helps in this goal. It requires more technology while a number of traditional dealers is effectively reduced. The activity require quantitative analysts, "quants", who can manage pricing engines in order to maximize profit while staying in the risk threshold. Over 4 years, eFX gained 13 percent point and in 2015 for the first time surpassed voice trading, with 53.2\% of client flow share JeffPatterson2015 Chung2015.



kwojdalski/rpm2 documentation built on May 29, 2019, 3:40 a.m.