Paul Bernd Spahn, Goethe-Universität Frankfurt/Main1 Lecture 5 UNDERSTANDING EXCHANGE RATES (2)
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Transcript of Paul Bernd Spahn, Goethe-Universität Frankfurt/Main1 Lecture 5 UNDERSTANDING EXCHANGE RATES (2)
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 1
Lecture 5
UNDERSTANDING
EXCHANGE RATES (2)
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 2
A typical trading desk for spot forex
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 3
Volatility USD/EUR, tick chart
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 4
Exchange rates in the short run
• The theory of the long-run behavior of exchange rates cannot explain the large changes of current (spot) exchange rates.
• In order to understand the short-run behavior, we have to recognize that the exchange rate reflects the price of domestic bank deposits (in €) denominated in terms of foreign bank deposits (in $).
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 5
Comparing expected returns across nations
• We consider Euroland the “home country”, and the domestic currency €.
• The USA are the “foreign country” with the foreign currency $.
Euro deposits bearan interest rate i€.
Dollar deposits bearan interest rate i$.
How does Hans, the European, compare the return on dollar deposits abroad
with the return on domesticinvestments in € ?
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 6
Comparing expected returns across nations
• If Hans invests in the USA, he must realize that his return in terms of € is not i$. He must adjust the return for any expected appreciation/depreciation of the $ against the €.
• If $-deposits bring an interest rate of i$ =5% p.a., and the dollar is expected to depreciate by 10% p.a. (w = $/€ ), the expected return in € is 5% - 10% = -5%.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 7
Comparing expected returns across nations
• More formally
RET$(€) i$ w e t1 wtwt
Differential RET (€) i€ (i$ w e t1 wtwt
)
i€ i$ wet1 wtwt
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 8
Comparing expected returns across nations
• If Bill invests in Euroland, he must realize that his return in terms of $ is not i€. He must adjust the return for any expected appreciation/depreciation of the € against the $.
• If €-deposits bring an interest rate of i€ =3% p.a., and the euro is expected to appreciate by 10% p.a. (w = $/€ ), then the expected return is 3% + 10% = 13%.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 9
Comparing expected returns across nations
• More formally
RET€($) i€ w e t1 wtwt
Differential RET ($) i$ (i€ w e t1 wtwt
)
i$ i€ wet1 wtwt
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 10
The key point:
RET$ and RET€ are symmetrical (with opposite sign)
As the relative expected return on €-deposits increases, both domestic and foreign residentsrespond in the same way: they want to holdmore €-deposits and fewer deposits in $.
- Differential RET($) i$ i€ wet1 wtwt
i€ i$ w e t1 wtwt
Differential RET (€) i€ i$ w e t1 wtwt
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 11
Interest parity condition
• At present, international capital markets are relatively open. There are few impediments to the flow of capital, and $ and € have similar liquidity and risk.
• When capital is mobile and bank deposits are perfect substitutes, the expected return must become identical:
i€ i$ w e t1 wtwt
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 12
Why? Arbitrage and liquidity trading
• Whenever there emerge small differences between interest rates and/or changes of expectations on the exchange rate, there will be arbitrage in international money markets that evens out the differential between domestic and foreign returns denominated in one currency => Interest parity condition
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 13
Market adjustment: Examples
We assume: i$ = 10%, and wet+1 = 1 $/€.
• When wt = 1.0 $/€, the expected appreciation/ depreciation of the € = 0% and the expected return in € is then equal to i$ = 10% (Point B).
• When wt = 0.95 $/€, wet = 0.052 =5.2%, and
the expected return in € = 4.8% (Point A).
• When wt = 1.05 $/€, wet = -0.048 =-4.8%, and
the expected return in € = 14.8% (Point C).
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 14
Equilibrium in forex markets
wt ($/€)
1.00
1.05
0.95
Expected return (€)
RET€ RET$
A
10%5.2% 14.8%
B
C
D
E
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 15
What happens in disequilibrium
• When w ≠ 1.0, there is a market reaction:
– w > 1: People will try to sell € and buy $.=> “Selling €” and “buying $”
– But no one holding $ will sell at that price, there is “excess supply” of euros;i.e. the price of €-deposits relative to $-deposits must fall.
– The amount of dollars per euro falls, the euro depreciates.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 16
What happens in disequilibrium
• When :
– w < 1: People will try to sell $ and buy €.=> “Selling $” and “buying €”
– But no one holding € will sell at that price, there is “excess supply” of dollars;i.e. the price of $-deposits relative to €-deposits must fall.
– The amount of dollars per euro increases, the euro appreciates.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 17
Change in the foreign interest rate
• If the foreign interest rate increases, the expected return RET$ also increases.
• This leads to a depreciation of the euro.
• The same is true if the expected return on dollar deposits increases (at the original equilibrium exchange rate).
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 18
Equilibrium in forex markets
wt ($/€)
wB
Expected return (€)
RET€ RET$
iD
B
C
RET$
wC
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 19
Change in the domestic interest rate
• An increase in the domestic interest rate raises the expected return on euro deposits, shifts the RET€ schedule to the right, and leads to a rise in the exchange rate.
• It creates an excess demand for €-deposits at the original exchange rate, and this leads to an appreciation of the €.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 20
Equilibrium in forex markets
wt ($/€)
wB
Expected return (€)
RET€ RET$
i€B
B
CwC
RET€
i€C
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 21
What about inflation ?
• If we assume that rational investors ask for a compensation for the erosion of a nominal value due to inflation, i.e. the “Fisher equation” holds, we have to be more specific
• Expected inflation-rate differentials are embedded in nominal interest rates, and hence in the nominal exchange rate.
• On top of the inflation-rate differential, the exchange rate reacts to differentials in the “real interest” rate.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 22
Factors that affect the exchange rate
Domestic interest rate
Foreign interest rate
Price expectations (D/F)
Expected import demand
Expected export demand
Expected productivity (D/F)
Change invariable
Exchange rate change
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 23
The analysis of forex markets
Paul Bernd SpahnPaul Bernd SpahnPaul Bernd Spahn
EuroEuroEuro
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Volume of forex transactions, in bill.$
Share of financial innovations
Daily, month of April
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 25
Forex turnover by currency pairs (in per cent)
¥
$ € Other
€ 30
20 3
£ 11 2
SFr 5 1
Other 25 2 2
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 26
Forex transactions by market place (April 2001)
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 27
Actors in forex markets
Volume of trading by groups of actorsB
ill.
US
dollars
per
day
With traders
With non-financial institutions
With other financial institutions
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 28
The forex market is highly concentrated
Citygroup 9,74
Deutsche Bank 9,08
Goldman Sachs 7,09
JP Morgan 5,22
Chase Manhattan Bank 4,69
Credit Suisse First Boston 4,10
UBS Warburg 3,55
State Street Bank & Trust 2,99
Bank of America 2,99
Morgan Stanley Dean Witter 2,87
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 29
And will be concentrated even more …
• Since September 2002 the forex market has changed: The CLS Bank started operating. It highly concentrates forex dealings due to a new technology.
• On October 29th, the CLS Bank settled 15,200 transactions, totaling $395 billion, which required only $17 billion of payments between member banks, a 95% reduction.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 30
Short and long run: the $/DEM-market
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Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 31
Short and long run: the $/£-market
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Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 32
• Mastertextformat bearbeiten
– Zweite Ebene• Dritte Ebene
– Vierte Ebene
• Fünfte Ebene
Pound sterling during the 1992 crisis
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 33
The Asian crisis 1997-98
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The crisis of the Argentinian peso
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Systemic stability of the financial sector
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 36
Factors driving the financial sector
• The financial system is in a continuing flux driven by transactions costs motives.
• The developments of forex markets demonstrate the importance of cost reduction.
• The strategies are– Bundling of funds (economies of scale)– Risk reduction through diversification– Explicit Hedging– Expertise (legal, technological)
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 37
Information inefficiencies
• Market participants can have insufficient information about their counterparts (asymmetric information). It leads to
– Adverse selection. This is an information problem occurring before the transaction:Potential bad credit risks are those who seek loans most actively.
– Moral hazard. This occurs after the trans-action: Borrowers may take on big risks.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 38
Adverse selection: The ‘lemons problem’
George Akerlof *1940, Nobel Prize 2001
• A ‘lemon’ is a bad car purchased second hand.
• Akerlof studied the used-car market and found an asymmetric information problem:– Potential buyers can’t tell a
‘lemon’ from a good car.– They offer an average price,
between the value of a lemon and a good car.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 39
The ‘lemons problem’
• The owner of a used car knows whether the car is good or bad.
• If the car is a lemon, he is of course happy to sell at the average price.
• If the car is good, the owner has little incentive to sell at average prices.
• Transaction volumes are low and the market may even break down.
• Similar problems arise in the securities markets (bonds, and stocks).
• An investor will only pay a price that reflects the average quality of firms.
• Bad firms are happy to take loans from investors.
• Good firms are not willing to borrow on this market.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 40
Moral hazard in equity contract (1)
• Equity contracts (shares) are subject to a particular ‘principal-agent problem’.
• Stockholders (principals) are not the same as managers (agents). This separation involves moral hazard because managers may act in their own interest.
• Example: Steve has an ice-cream shop, and you become his silent partner. The capital is shared at 10:90. Profits are also shared in these proportions.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 41
Moral hazard in equity contract (2)
• Option 1: Steve works hard and provides good service, but earns only 10% or the profit.
• Option 2: Steve does not provide good service, and uses the capital to buy artwork for his office, a luxury car for business; he thus acquires ‘fringe benefits’ at your expense.
• Option 3: Steve is not only a poor manager, but also dishonest. In this case the moral hazard problem may become extreme.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 42
Elimination of asymmetric information (1)
• A first solution to the problem is the private production and sale of information.
• There are professional rating agencies (Standard and Poor’s, Moody’s, Value Line), and you can set up costly monitoring and auditing (state verification) of the firm.
• But there is s ‘free-rider problem’ to this. If you buy a security, people my simply copy your behavior without paying for the information.
• This erodes potential extra profits, and you may not have bought the information in the first place.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 43
Elimination of asymmetric information (2)
• A second possibility could be to involve the government in regulating the market.
• The objective is to make firms reveal honest information by adhering to standard accounting practices and to disclose pertinent information.
• Government can also impose stiff criminal penalties to contain fraud.
• Government regulation may ease the asymmetric information problems, but it is difficult to eliminate them totally.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 44
Elimination of asymmetric information (3)
• A third solution is to involve financial intermediaries as experts in the production of information.
• A private loan is not traded, so others cannot watch and imitate (no free rider).
• This explains why indirect finance is more important than direct finance.
• Larger firms (because they are better known) obtain easier access to capital markets than smaller firms.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 45
Systemic instability and financial crises
• Financial crises are characterized by abrupt declines in asset prices and by insolvencies of financial and non-financial firms.
• Such crises are reoccurring in many countries. They are caused by a sharp increase in adverse selection and moral hazard problems.
• Four categories of factors trigger crises:– Increases in interest rates;– Increases in uncertainty; – Asset market effects on balance sheets; and– (Multiple) bank failures.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 46
Asset market effects on balance sheets
• Balance sheets have important repercussions on the financial system:– A deterioration (fall in stock or housing prices) of
the balance sheet reduces the ‘net worth’ of a firm.– Lenders are less willing to lend because of
reduced collateral.– This induces moral hazard because borrowers take
higher risks.– The increase in moral hazard makes lending less
attractive … this reduces economic activity.
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 47
Typical financial crises
Deterioration of a bank’s balance sheet
Increase ininterest rates
Increase inuncertainty
Stock marketdecline
Adverse selection andmoral hazard problems worsen
Economic activity declines
Bank panic
Adverse selection andmoral hazard problems worsen
Economic activity declines
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 48
The stock market and speculative frenzies
• Stock markets have indeed often created havoc to the economy and to people’s life
• Early example: the ‘tulip bubble’ in the Netherlands (approximately 1620 to 1637)
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 49
The tulip boom
• The boom involved rare tulips
• Bulb prices rose steadily throughout the 1630s, as ever more speculators wedged into the market.
• In 1633, a farmhouse in Hoorn changed hands for three bulbs
• In 1637 the bubble stretched ……. and burst !!
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Precedents of the crisis
• The basis of the bubble was an economic boom caused by shocking “new technologies” (Amsterdam merchants were at the center of the new and lucrative East Indies trade)
• But enabling the bubble was leveraged through credit, future contracts, and an innovative climate of Dutch finance (that coined new instruments such as options)
Did the burst of the bubble drag down the Dutch economy?
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 51
Financial crisis:The US stock market 1871-1914
Financial crises have been frequent and persistent throughout economic history
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 52
What causes stock market volatility?
• Financial crises exhibit a similar pattern:
– Promising novel technologies or markets– A psychologically boosted investment
frenzy – Financial leverage and concentration
of resources into an emerging segment of the economy
– Over-expansion of a sector and its bust– Contagion of the overall economy
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 53
Examples
• This pattern was typical for
– The railway frenzy of the mid-19th century– The initiation of electrical appliances
at the turn of the last century
But the best analyzed event in economic history is the one following the expansion of the ‘roaring 1920s’ …..
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 54
How do financial bubbles affect activity?
The NY stock market crashed on Friday, October 1929, initiating a persistent and long downturn of the
economy
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 55
Development of Stock Market Index
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 56
official series
Adjusted series
US Unemployment rate, 1929-1942
1930 1935 1940
25
20
15
10
5
Quelle: M.R. Darby, Three-and-a-half Million Employees Have been mislaid, Journal of political Economy,1976
Repercussions on the real economy
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 57
Impact on people’s lives
Top CEOs had a especially hard time !
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 58
What dragged the economy down?
• The impact was then– Increase of personal savings (and hence
a reduction of consumer spending) due to a perceived reduction of personal wealth
– Change in consumer behavior due to higher unemployment
– Credit implosion with an induced reduction of demand, notably fixed investment
– Reduction of housing investment due to prior over-investment
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 59
The Great Depression: Further problems
• And :– A general loss in consumers’ and investors’
confidence– Change in spending behavior
due to insolvencies and bankruptcies– Disintermediation due to a lack of liquidity– Negative impact on public investment
due to a fall in tax revenue– Policy failures, e.g. “strategic trade policies”
(Smoot-Hawley Act)
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 60
November
JanuaryFebruary
March
April
May
JuneJuly
August
September
October
Monthly data. Imports from 75 Countries (in bill. Gold $)
December 1929
1930
1931
19321933
The Great Depression: US imports
November
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 61
Anna Schwartz
Milton Friedman
The Great Depression: Monetary policy
• Policy failure of central banking:– Reduction
in the supply of money
– High real interest rates– Failure of financial
institutions
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 62
What have we learned since?
• Social protection, especially of the old and the unemployed
• Consolidation of financial sector to avoid credit implosion, insolvency and break-downs
• Fiscal and monetary management
• International institutions to provide international means of payment (IMF) and to protect free trade (WTO)
• International cooperation and integration
• And in particular ………..
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 63
Our leaders are much brighter !!
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 64
Today we are technically
more advanced and smarter than
our grandparents!
However: “animal spirits” are persistent
and remain
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 65
Irrational exuberance: “A bubble that will burst!”
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 66
…and it did!
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The 1920s and 30s
Paul Bernd Spahn, Goethe-Universität Frankfurt/Main 67
The central bank and systemic stability
• The health of the economy and the effectiveness of monetary policy depend on a sound financial system. Through supervising and regulating financial institutions, the ECB is better able to make policy decisions.
• But should it intervene?
• Rescue failing banks?