2014년 5월 18일 일요일

통일관련 국내외 연구

http://choonsik.blogspot.kr/2014/05/40.html?spref=fb&m=1 에서 인용한 글++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

통일 관련 국내 및 해외 연구 보고서 40여 건 총정리

(※ 국내·외에서 발간된 통일의 경제적 효과 분석 보고서 40여 건의 목록과 링크를 대외경제정책연구원이 정리한 것이다. 아래 내용을 다시 사용할 경우 이 블로그 이름이나 대외경제정책연구원을 출처로 밝혀주십시오.)

국립외교원
통일 전후 독일 경제 상황과 독일 통일이 한반도에 주는 함의 (2014.02)


국회예산정책처
통일비용에 대한 기존연구 검토 (2011.08)

메리츠종금증권 리서치센터
향후 남북통일에 따른 한국경제 및 금융시장 파급효과 (2014.03)

산업연구원
독일 통일 20년의 경제적 교훈과 시사점 (2010.09)

세계경제연구원
통일 독일의 경제•정치적 위상과 한국에 대한 시사점 (2013.08)
통일 이후 독일 경제침체의 교훈 (2007.02)

제주평화연구원
독일통일의 쟁점과 한반도 통일에의 시사점 (2011.02)

키움증권 리서치센터
독일 통일 후 경제 및 금융시장 (2011.03)

통일연구원
정치•사회•경제 분야 통일 비용•편익 연구 (2013.12)
통일 비용•편익의 분석모형 구축 (2012.12)
통일 비용•편익 추계를 위한 북한 공식경제부문의 실태연구 (2011.12)

한국개발연구원(KDI)
통일 비용⋅편익 논의의 재조명 (2014.03)
남북통합의 경제적 기초: 이론, 이슈, 정책 (2013.11)
남북한 경제통합 연구: 북한경제의 장기발전전략 (2013.10)
남북한 경제통합 연구: 북한경제의 한시적 분리 운영방안 (2013.05)

한국경제학회
통일 후 독일경제의 교훈 (2013년 6권 1호)

한국수출입은행
독일통일실태 보고서: 독일연방하원 앙케이트위원회 보고서 (2011.11)

한국은행
통일 이후 남북한 경제통합방식에 대한 연구 (2007.01)

한국조세재정연구원
통일재원 조달 방식에 대한 연구 (2011.12)

현대경제연구원
통일 한국의 경제적 잠재력 추정 (2014.04)
2013년 북한 GDP 추정과 남북한의 경제•사회상 비교 (2014.03)

Centre for Eastern Studies (OSW)
One country, two societies? Germany twenty years after reunification (2011.02)

Centre for Economic Policy Research (CEPR)
Fiscal Federalism in Germany: Stabilization and Redistribution Before and After Unification (2009.04)
The Costs of Remoteness: Evidence from German Division and Reunification (2005.04)

CESifo
Labor Market Effects of Economic Integration - The Impact of Re-Unification in German Border Regions (2004.04)

Deutsche Bundesbank
Trend and cycle features in German residential investment before and after reunification (2010.10)
Private consumption in Germany since reunification (2007.09)

Hamburg Institute of International Economics (HWWI)
The effect of market access on the labor market: Evidence from German reunification (2012.09)

International Centre for the Study of East Asian Development, Kitakyushu
The Political Economy of Re-unification between Two Koreas (2009.04)

International Economic Journal
Korean Economic Integration: Prospects and Pitfalls (2012 V.26 N.3)

Kiel Institute for the World Economy (IFW)
The Caring Hand that Cripples: The East German Labor Market After Reunification (2006.05)

Levy Economics Institute of Bard College
The Economic Consequences of German Unification (2001.11)
On the “Burden” of German Unification (2001.05)

National Bureau of Economic Research (NBER)
Learning Capitalism the Hard Way—Evidence from Germany's Reunification (2013.07)
The Fiscal Burden of Korean Reunification: A Generational Accounting Approach (2004.08)

Peterson Institute for International Economics (PIIE)
Going Beyond Economic Engagement: Why South Korea Should Press the North on Labor Standards and Practices (2014.04)
Modeling Korean Unification (1999.07)
The Costs and Benefits of Korean Unification (1998)
The Economics of Korean Unification (1997)

RAND
North Korean Paradoxes : Circumstances, Costs, and Consequences of Korean Unification (2005)

Wirtschaftsordnung und Sozialpolitik, Universitt Wrzburg
Reunification, Restructuring, Recessions and Reforms – The German Economy over the Last Two Decades (2008)

2014년 3월 25일 화요일

[Stata] 지도를 이용한 그래프 그리기

Stata 에서 지도 이용한 그래프 그리기


 
가끔씩 데이타들을 위 그림과 같이 지도로 이용해서 보여주면 편리할 때가 있습니다.
 
뭐라 부르는 것이 정확한 용어인지 모르겠지만, Stata 에서 지도를 이용해서 그래프 그리는 법 소개하겠습니다.
 
아래 두 링크 참조했는데, 링크에 소개된 방법을 그대로 따르면 제 컴퓨터에서는 몇 가지 에러가 납니다 (예를 들면 그럴 필요가 없어 보이는데, x 좌표의 범위를 (-20,20)으로 한정하라든지, dta 확장자를 안 넣어주면 에러가 난다든지). 아래 소개하는 예는, 최소한 제 컴에서는 아무런 문제 없이 돌아갔습니다. 쓰시는 컴 사양과 데이타에 맞춰서 알아서 쓰시기 바랍니다.
 
- How do I graph data onto a map? (http://www.stata.com/support/faqs/graphics/tmap.html)
 
 
1. 먼저 tmap, shp2dta, mif2dta 세 가지 파일이 필요합니다. 만약에 이 파일들이 없을 경우, Stata 명령어창에서
 
ssc install tmap
ssc install shp2dta
ssc install mif2dta
 
차례로 쳐 주면 알아서 깔립니다. 인터넷 연결이 되어 있어야 합니다.
 
tmap 은 본인의 데이타와 좌표 정보를 이용해서 그래프를 그려주는 프로그램입니다.
 
좌표를 비롯해서 여러 정보를 포함한 지도 파일에는 ESRI (Enviroment Systems Research Institute) 에서 개발한 shapefile (확장자 shp)과 MapInfo interchange format (확장자 mif)이 있는데, shp2dta 와 mif2dta 는 shp 파일과 mif 파일을 Stata 에서 쓸 수 있게끔 만들어 주는 명령어들입니다. 즉, shp 파일을 쓰면 shp2dta를, mif 파일을 쓰면 mif2dta 를 쓰면 됩니다. 이 예제에서는 shapefile 을 이용하기 때문에 mif2dta 는 쓸 필요 없습니다.
 
 
2. 필요한 지도를 찾아야 합니다. 보통 google 에서 "필요한 나라/지역 + shapefile" 치면 대부분 찾아집니다. 미국의 경우 "United States + shapefile" 하면 주별 경계가 표시된 shp 파일 찾을 수 있습니다. 세계 각국의 지도는 http://www.cdc.gov/epiinfo/shape.htm 에 있습니다. 여기서는 한국지도를 쓰겠습니다.
 
http://www.cdc.gov/epiinfo/asia.htm 에서 South Korea 를 클릭하면 자동압축 파일이 나오는데, 편리한 폴더(제 경우는 c:\data)에 풀어 놓으면 5개의 파일이 생깁니다. 파일 중 ks.shp 가 있는데 이 파일을 Stata 에 맞게끔 바꿔줘야 합니다.
 
cd c:\data                           
 
먼저 작업폴더를 바꿔줍니다. 다음 shp2dta 를 이용하면 두 가지 파일이 생깁니다. 하나는 국가이름, 지역이름 등의 정보를 가진 파일이고, 또 하나는 (x,y) 좌표정보를 가진 파일입니다.
 
shp2dta using ks, database(skdb) coordinates(kcord) genid(id)          
 
shp파일을 변환합니다. ks는 다운 받은 shp 파일 이름입니다. database ( ) 안에는 국가이름, 지역이름 등의 정보를 포함할 파일 이름을 지정해주고, coordinates (  ) 안에는 좌표 정보를 포함할 파일 이름을 지정해 줍니다. 그리고, genid (  ) 안에는 ID identifier 역할을 할 변수 이름을 정해줍니다. 이 경우, 대한민국의 14개 시도가 id = 1,2,3,...,14 로 표시됩니다. 
 
shp2dta 명령어 실행후 생성된 파일을 보면, skdb.dta 에는 국가이름 = 한국, 14개 시도의 이름, id 등의 정보가 들어가 있습니다. kcord.dta 에는 id 와 (x,y) 좌표 정보가 들어가 있습니다.
 
skdb.dta 는 이렇게 생겼습니다.
 
 
kcord.dta 는 이렇게 생겼구요. 좌표정보가 보이지요.
 
 
 
3. 본인의 데이타와 위 파일들을 merge 명령어를 써서 합쳐야 합니다. 제가 쓸 데이타 파일은 kdata.dta 인데  id 변수를 고리로 skdb.dta, kcord.dta 와 연결되니 id 변수를 반드시 가지고 있어야 합니다.
 
id 변수가 있고, x 라는 변수를 편의상 1부터 14까지 만들었습니다. x 변수에 시/도별 인구, 기독교인 비율, 산업생산량 등 사용할 변수를 입력해서 쓰시면 됩니다.

 
use kdata, clear
 
kdata.dta 파일을 불러 옵니다 (이 예제와 똑같이 우리나라 14개 시/도 지도를 쓰시면 첨부된 kdata-5296-ergodic.dta 를 kdata.dta 로 이름 바꾸고, x 변수에 관련 변수값을 넣어주면 됩니다)
 
merge id using skdb, sort unique
 
id 변수를 매개로 kdata.dta 와 skdb.dta 를 합치는 명령어입니다. 성공적으로 합쳐졌는지 확인하려면 tab _mergedrop if _merge!=3 을 차례로 실행하면 됩니다.
 
아래 그림을 보면 skdb.dta 에 우리의 관심 변수인 x 가 포함되었습니다.
 

 
 
4. tmap 명령어를 이용해서 x 변수를 지도에 그립니다.
 
tmap choropleth x, id(id) map(kcord.dta) palette(Blues)
 
tmap choropleth 다음에는 지도 위에 그릴 변수 이름을 표시해줍니다. id ( )에는 14개 시/도의 identifier 변수 이름을, map ( )에는 좌표정보를 가지고 있는 파일 이름을 넣어줍니다. palette(Blues)는 파란 색 계열로 지도를 표시하라는 옵션입니다.
 
결과물입니다.
특정 시/도를 제외하고 싶으면 해당되는 id 를 이용하면 됩니다. 예를 들어 서울을 제외하고 싶으면, 서울의 id 번호 7을 이용해서 아래와 같이 실행하면 됩니다.
 
tmap choropleth x if id!=7, id(id) map(kcord.dta) palette(Blues)

2014년 3월 9일 일요일

[Stata] Export tables to Excel

In the spotlight: Export tables to Excel®

A new feature in Stata 13, putexcel, allows you to easily export matrices, expressions, and stored results to an Excel file. Combining putexcel with a Stata command’s stored results allows you to create the table displayed in your Stata Results window in an Excel file. Let me show you.
A stored result is simply a scalar, macro, or matrix stored in memory after you run a Stata command. The two main types of stored results are e-class (for estimation commands) and r-class (for general commands). You can list a command’s stored results after it has been run by typing ereturn list (for estimation commands) or return list (for general commands). Let’s try a simple example by loading the auto dataset and running correlate on the variables foreign and mpg:
. sysuse auto
(1978 Automobile Data)

. correlate foreign mpg
(obs=74)
foreign mpg
foreign 1.0000
mpg 0.3934 1.0000
Because correlate is not an estimation command, we use return list to see its stored results.
. return list

scalars:
                  r(N) =  74
                r(rho) =  .3933974152205484

matrices:
                  r(C) :  2 x 2
Now we can use putexcel to export these results to Excel. The basic syntax of putexcel is
putexcel excel_cell=(expression) ... using filename [, options]
If you are working with matrices, the syntax is
putexcel excel_cell=matrix(expression) ... using filename [, options]
It is easy to build the above syntax in the putexcel dialog. We have a helpful video on our YouTube channel about the dialog. Let's list the matrix r(C) to see what it contains.
. matrix list r(C)

symmetric r(C)[2,2]
           foreign        mpg
foreign          1
    mpg  .39339742          1
To re-create the table in Excel, we need to export the matrix r(C) with the matrix row and column names. In your Stata Command window, type
. putexcel A1=matrix(r(C), names) using corr
To export the matrix row and column names, we used the names option after we specifed the matrix r(C). When we open the file corr.xlsx in Excel, the table below is displayed.

Next let’s try a more involved example. Reload the auto dataset, and run a tabulation on the variable foreign. Because tabulate is not an estimation command, we use return list to see its stored results.
. sysuse auto
(1978 Automobile Data)

. tabulate foreign
Car type Freq. Percent Cum.
Domestic 52 70.27 70.27
Foreign 22 29.73 100.00
Total 74 100.00
. return list scalars: r(N) = 74 r(r) = 2
tabulate is different from most commands in Stata: it does not automatically save all the results we need into the stored results. We need to use the matcell() and matrow() options of tabulate to save its results into two Stata matrices.
. tabulate foreign, matcell(freq) matrow(names)
Car type Freq. Percent Cum.
Domestic 52 70.27 70.27
Foreign 22 29.73 100.00
Total 74 100.00
. matrix list freq freq[2,1] c1 r1 52 r2 22 . matrix list names names[2,1] c1 r1 0 r2 1
The putexcel commands below create a basic tabulation table in Excel.
. putexcel A1=("Car type") B1=("Freq.") C1=("Percent") using results, replace
. putexcel A2=matrix(names) B2=matrix(freq) C2=matrix(freq/r(N)) using results, modify
Here is the resulting Excel table:

You probably noticed that this table does not include cumulative percentages or the total number of cars. Moreover, our “Car type” column contains the numeric values of the foreign variable rather than the value labels Domestic and Foreign.
With a bit of programming, you can overcome these limitations. On the Stata Blog, I have posted a short do-file that exports the table by tabulate exactly as it appears in the Stata Results Window. With that program, we get this Excel spreadsheet:

In the blog post, I also provide a simple command that combines tabulate and putexcel into one handy command. I explain how to use putexcel to format the exported Excel tables in another blog post. You can also learn how to quickly export estimation results here.
—Kevin Crow
Senior Software Developer 

2014년 2월 10일 월요일

금융시장 위기지수

최과장의 채권이야기에서 옮긴 글입니다. 
http://jin1413.tistory.com/entry/금융위기에-봐야할-지표
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++


1.  TED SpreadTED는 Treasury와 Eurodollar의 T와 ED를 따서 만들어낸 造語이다. Ted Spread는 Treasury 3m금리와 Eurodollar 3m금리(=US Libor 3m)의 스프레드를 의미한다. 美정부의 3개월 funding cost와 美은행의 3개월 funding cost를 비교한 것인데, normal한 경제 상황이라면 둘 사이의 스프레드는 상당히 안정적인 모습을 보이지만 은행의 펀딩이 힘든 시점에는 둘 사이의 스프레드가 확 벌어지는데 요즘 같은 때는 특히 이 친구를 잘 봐야 한다. 3개월, 3개월 금리의 비교이기 때문에 Credit risk만 반영된다.

* Google에서 tedspread치면 이 화면으로 들어갈 수 있다. 요즘 상황을 2008년 위기와 비교하는 사람들이 많은데 이 지표만 보면 비교 자체가 안되는 상황이다.

2. Libor - OIS Spread
TED Spread와 비슷한 개념인데 Credit risk뿐만 아니라 Liquidity risk도 같이 볼 수 있는 지표이다. 왜냐하면 앞에 있는 Libor는 dollar나 euro의 real money가 교환되는 3개월 실제 펀딩 코스트를 의미하지만 뒤에 있는 OIS(Overnight Index Swap)는 하루짜리 - 우리로 치면 콜금리 - 금리로 원금 교환이 없이 이자만 교환되는(=신용위험이 낮은 것으로 평가) 금리이기 때문이다.

* 앞의 Ted spread와 달리 이 차트는 과거 1년치 자료를 삽입했다. (5년치 차트는 위의 차트와 거의 동일) 올해 8월, S&P가 미국채 등급 내리면서 부터 3mo Libor - OIS Spread가 급등했음을 알 수 있다.

3. VIX(Volatility Index)시카고에 있는 CBOE에서 거래되는 S&P500 옵션의 내재변동성에 대한 기대치(30일)를 의미한다. 금융위기시에 주가의 변동성이 확대되는 것은 경험에 근거한 fact이다. 공포지수라고도 불린다.

* 2008년 리만, 2010 그리스, 2011 s&p등급하락 및 유로존위기, 변동성은 모두 확대되었다.

4. CDS PremiumCDS는 Credit default swap의 약자이다. underlying asset의 credit risk가 확대되면 protection buyer가 지불해야 할 보험료(premium)도 올라간다. 금융위기 -> 금융기관의 Credit risk증가 -> 국가리스크도 증가, 이런식의 도식적인 흐름이 금융위기 시점에는 성립한다. 최근 CLN이라는 상품에 투자한 장기 투자기관들이 CDS 때문에 많이 고생하고 있는데 나중에 한 번 설명하겠다.

* 한국국채 5년물 $10mil 가지고 있는 외국인이 한국 정부가 부도났을 때 위험을 헤지하기 위해서 지불해야할 돈이 지금은 10/13일 기준으로 $10mil*163bp 수준이다.

* 그리스와 아일랜드 (* 아일랜드는 IMF 구제금융으로 잘 살아난 국가로 간주된다.)

2014년 2월 2일 일요일

Nobel lectures in economics 2013

http://www.youtube.com/watch?v=WzxZGvrpFu4&feature=share

Monetary Policy During Ben Bernanke’s Time at the Fed

Like many monetary economists, I’ve recently been approached by reporters  and commentators to say a few words about monetary policy during Ben Bernanke’s time at the Fed.  Back in December the Washington Bureau of the Wall Street Journal asked me and others to write a short 300 word statement on the subject, and I have simply re-circulated that in response to further inquiries. Here are the 300 words:
Many will remember Ben Bernanke for classic central bank stabilizing actions taken during the fall 2008 panic, including emergency loans to banks and swap lines to foreign central banks. But historians might also consider actions the Fed took before and after that panic.

During 2003-2005, shortly after Ben Bernanke joined the Board stressing deflationary concerns, the Fed embarked on a very low interest rate policy. The policy was rationalized in part by these deflationary concerns, but it was a deviation from a policy that had worked well for two decades, and it exacerbated the housing boom and led to excessive risk taking.

The inevitable bust and defaults started as early as 2006. But the Fed misdiagnosed the resulting hits to bank balance sheets as a pure liquidity problem, and its initial treatment — pouring funds into the interbank market via the 2007 Term Auction Facility — did little good. The Fed then followed up with an on-again off-again bailout policy which created more instability. When the Fed bailed out Bear Stearns’ creditors in March 2008, investors assumed Lehman’s creditors would be bailed out too. When they weren’t, it was a big surprise. With policy uncertainty reaching new heights, panic ensued.

After the panic, the Fed began to draw down the emergency loans, but then embarked on an entirely unprecedented policy — massive purchases of mortgage-backed and Treasury securities, known as quantitative easing (QE).  The economy has grown slowly with QE compared with past recoveries without QE and far short of the Fed’s predictions. Many argue that QE has not reduced unemployment, but has diminished the Fed’s independence and credibility, offsetting the effects of adopting a numerical inflation target. Now, only a year after the latest round of QE began, the Fed is struggling with how to unwind it, just as many had warned.

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2013년 11월 10일 일요일

Ben S. Bernanke's speech on the crisis as a classic financial panic

Chairman Ben S. Bernanke


At the Fourteenth Jacques Polak Annual Research Conference, Washington, D.C.


November 8, 2013


The Crisis as a Classic Financial Panic


I am very pleased to participate in this event in honor of Stanley Fischer. Stan was my teacher in graduate school, and he has been both a role model and a frequent adviser ever since. An expert on financial crises, Stan has written prolifically on the subject and has also served on the front lines, so to speak--notably, in his role as the first deputy managing director of the International Monetary Fund during the emerging market crises of the 1990s. Stan also helped to fight hyperinflation in Israel in the 1980s and, as the governor of that nation's central bank, deftly managed monetary policy to mitigate the effects of the recent crisis on the Israeli economy. Subsequently, as Israeli housing prices ran upward, Stan became an advocate and early adopter of macroprudential policies to preserve financial stability.

Stan frequently counseled his students to take a historical perspective, which is good advice in general, but particularly helpful for understanding financial crises, which have been around a very long time. Indeed, as I have noted elsewhere, I think the recent global crisis is best understood as a classic financial panic transposed into the novel institutional context of the 21st century financial system.1 An appreciation of the parallels between recent and historical events greatly influenced how I and many of my colleagues around the world responded to the crisis.

Besides being the fifth anniversary of the most intense phase of the recent crisis, this year also marks the centennial of the founding of the Federal Reserve.2 It's particularly appropriate to recall, therefore, that the Federal Reserve was itself created in response to a severe financial panic, the Panic of 1907. This panic led to the creation of the National Monetary Commission, whose 1911 report was a major impetus to the Federal Reserve Act, signed into law by President Woodrow Wilson on December 23, 1913. Because the Panic of 1907 fit the archetype of a classic financial panic in many ways, it's worth discussing its similarities and differences with the recent crisis.3 

Like many other financial panics, including the most recent one, the Panic of 1907 took place while the economy was weakening; according to the National Bureau of Economic Research, a recession had begun in May 1907.4 Also, as was characteristic of pre-Federal Reserve panics, money markets were tight when the panic struck in October, reflecting the strong seasonal demand for credit associated with the harvesting and shipment of crops. The immediate trigger of the panic was a failed effort by a group of speculators to corner the stock of the United Copper Company. The main perpetrators of the failed scheme, F. Augustus Heinze and C.F. Morse, had extensive connections with a number of leading financial institutions in New York City. When the news of the failed speculation broke, depositor fears about the health of those institutions led to a series of runs on banks, including a bank at which Heinze served as president. To try to restore confidence, the New York Clearinghouse, a private consortium of banks, reviewed the books of the banks under pressure, declared them solvent, and offered conditional support--one of the conditions being that Heinze and his board step down. These steps were largely successful in stopping runs on the New York banks.

But even as the banks stabilized, concerns intensified about the financial health of a number of so-called trust companies--financial institutions that were less heavily regulated than national or state banks and which were not members of the Clearinghouse. As the runs on the trust companies worsened, the companies needed cash to meet the demand for withdrawals. In the absence of a central bank, New York's leading financiers, led by J.P. Morgan, considered providing liquidity. However, Morgan and his colleagues decided that they did not have sufficient information to judge the solvency of the affected institutions, so they declined to lend. Overwhelmed by a run, the Knickerbocker Trust Company failed on October 22, undermining public confidence in the remaining trust companies.

To satisfy their depositors' demands for cash, the trust companies began to sell or liquidate assets, including loans made to finance stock purchases. The selloff of shares and other assets, in what today we would call a fire sale, precipitated a sharp decline in the stock market and widespread disruptions in other financial markets. Increasingly concerned, Morgan and other financiers (including the future governor of the Federal Reserve Bank of New York, Benjamin Strong) led a coordinated response that included the provision of liquidity through the Clearinghouse and the imposition of temporary limits on depositor withdrawals, including withdrawals by correspondent banks in the interior of the country. These efforts eventually calmed the panic. By then, however, the U.S. financial system had been severely disrupted, and the economy contracted through the middle of 1908.

The recent crisis echoed many aspects of the 1907 panic. Like most crises, the recent episode had an identifiable trigger--in this case, the growing realization by market participants that subprime mortgages and certain other credits were seriously deficient in their underwriting and disclosures. As the economy slowed and housing prices declined, diverse financial institutions, including many of the largest and most internationally active firms, suffered credit losses that were clearly large but also hard for outsiders to assess. Pervasive uncertainty about the size and incidence of losses in turn led to sharp withdrawals of short-term funding from a wide range of institutions; these funding pressures precipitated fire sales, which contributed to sharp declines in asset prices and further losses. Institutional changes over the past century were reflected in differences in the types of funding that ran: In 1907, in the absence of deposit insurance, retail deposits were much more prone to run, whereas in 2008, most withdrawals were of uninsured wholesale funding, in the form of commercial paper, repurchase agreements, and securities lending. Interestingly, a steep decline in interbank lending, a form of wholesale funding, was important in both episodes. Also interesting is that the 1907 panic involved institutions--the trust companies--that faced relatively less regulation, which probably contributed to their rapid growth in the years leading up to the panic. In analogous fashion, in the recent crisis, much of the panic occurred outside the perimeter of traditional bank regulation, in the so-called shadow banking sector.5 

The responses to the panics of 1907 and 2008 also provide instructive comparisons. In both cases, the provision of liquidity in the early stages was crucial. In 1907 the United States had no central bank, so the availability of liquidity depended on the discretion of firms and private individuals, like Morgan. In the more recent crisis, the Federal Reserve fulfilled the role of liquidity provider, consistent with the classic prescriptions of Walter Bagehot.6 The Fed lent not only to banks, but, seeking to stem the panic in wholesale funding markets, it also extended its lender-of-last-resort facilities to support nonbank institutions, such as investment banks and money market funds, and key financial markets, such as those for commercial paper and asset-backed securities.

In both episodes, though, liquidity provision was only the first step. Full stabilization requires the restoration of public confidence. Three basic tools for restoring confidence are temporary public or private guarantees, measures to strengthen financial institutions' balance sheets, and public disclosure of the conditions of financial firms. At least to some extent, Morgan and the New York Clearinghouse used these tools in 1907, giving assistance to troubled firms and providing assurances to the public about the conditions of individual banks. All three tools were used extensively in the recent crisis: In the United States, guarantees included the Federal Deposit Insurance Corporation's (FDIC) guarantees of bank debt, the Treasury Department's guarantee of money market funds, and the private guarantees offered by stronger firms that acquired weaker ones. Public and private capital injections strengthened bank balance sheets. Finally, the bank stress tests that the Federal Reserve led in the spring of 2009 and the publication of the stress-test findings helped restore confidence in the U.S. banking system. Collectively, these measures helped end the acute phase of the financial crisis, although, five years later, the economic consequences are still with us.

Once the fire is out, public attention turns to the question of how to better fireproof the system. Here, the context and the responses differed between 1907 and the recent crisis. As I mentioned, following the 1907 crisis, reform efforts led to the founding of the Federal Reserve, which was charged both with helping to prevent panics and, by providing an "elastic currency," with smoothing seasonal interest rate fluctuations. In contrast, reforms since 2008 have focused on critical regulatory gaps revealed by the crisis. Notably, oversight of the shadow banking system is being strengthened through the designation, by the new Financial Stability Oversight Council, of nonbank systemically important financial institutions (SIFIs) for consolidated supervision by the Federal Reserve, and measures are being undertaken to address the potential instability of wholesale funding, including reforms to money market funds and the triparty repo market.7 

As we try to make the financial system safer, we must inevitably confront the problem of moral hazard. The actions taken by central banks and other authorities to stabilize a panic in the short run can work against stability in the long run, if investors and firms infer from those actions that they will never bear the full consequences of excessive risk-taking. As Stan Fischer reminded us following the international crises of the late 1990s, the problem of moral hazard has no perfect solution, but steps can be taken to limit it.8 First, regulatory and supervisory reforms, such as higher capital and liquidity standards or restriction on certain activities, can directly limit risk-taking. Second, through the use of appropriate carrots and sticks, regulators can enlist the private sector in monitoring risk-taking. For example, the Federal Reserve's Comprehensive Capital Analysis and Review (CCAR) process, the descendant of the bank stress tests of 2009, requires not only that large financial institutions have sufficient capital to weather extreme shocks, but also that they demonstrate that their internal risk-management systems are effective.9 In addition, the results of the stress-test portion of CCAR are publicly disclosed, providing investors and analysts information they need to assess banks' financial strength.

Of course, market discipline can only limit moral hazard to the extent that debt and equity holders believe that, in the event of distress, they will bear costs. In the crisis, the absence of an adequate resolution process for dealing with a failing SIFI left policymakers with only the terrible choices of a bailout or allowing a potentially destabilizing collapse. The Dodd-Frank Act, under the orderly liquidation authority in Title II, created an alternative resolution mechanism for SIFIs that takes into account both the need, for moral hazard reasons, to impose costs on the creditors of failing firms and the need to protect financial stability; the FDIC, with the cooperation of the Federal Reserve, has been hard at work fleshing out this authority.10 A credible resolution mechanism for systemically important firms will be important for reducing uncertainty, enhancing market discipline, and reducing moral hazard.

Our continuing challenge is to make financial crises far less likely and, if they happen, far less costly. The task is complicated by the reality that every financial panic has its own unique features that depend on a particular historical context and the details of the institutional setting. But, as Stan Fischer has done with unusual skill throughout his career, one can, by stripping away the idiosyncratic aspects of individual crises, hope to reveal the common elements. In 1907, no one had ever heard of an asset-backed security, and a single private individual could command the resources needed to bail out the banking system; and yet, fundamentally, the Panic of 1907 and the Panic of 2008 were instances of the same phenomenon, as I have discussed today. The challenge for policymakers is to identify and isolate the common factors of crises, thereby allowing us to prevent crises when possible and to respond effectively when not.



1. See Ben S. Bernanke (2012), "Some Reflections on the Crisis and the Policy Response," speech delivered at "Rethinking Finance," a conference sponsored by the Russell Sage Foundation and Century Foundation, New York, April 13. For the classic discussion of financial panics and the appropriate central bank response, see Walter Bagehot ([1873] 1897), Lombard Street: A Description of the Money Market (New York: Charles Scribner's Sons). Return to text

2. Information on the centennial of the Federal Reserve System is available at www.federalreserve.gov/aboutthefed/centennial/about.htm .Return to text

3. The Panic of 1907 is discussed in a number of sources, including O.M.W. Sprague (1910), A History of Crises under the National Banking System (PDF), National Monetary Commission (Washington: U.S. Government Printing Office), and, with a focus on its monetary consequences, Milton Friedman and Anna Jacobson Schwartz (1963), A Monetary History of the United States, 1867-1960 (Princeton, N.J.: Princeton University Press). An accessible discussion of the episode, from which this speech draws heavily, can be found in Jon R. Moen and Ellis W. Tallman (1990), "Lessons from the Panic of 1907 (PDF)," Leaving the Board Federal Reserve Bank of Atlanta, Economic Review, May/June, pp. 2-13. Return to text

4. See Charles W. Calomiris and Gary Gorton (1991), "The Origins of Banking Panics: Models, Facts, and Bank Regulation," in R. Glenn Hubbard, ed., Financial Markets and Financial Crises (Chicago: University of Chicago Press), pp. 109-74. Return to text

5. As discussed in Bernanke, "Some Reflections on the Crisis" (see note 1), shadow banking, as usually defined, comprises a diverse set of institutions and markets that, collectively, carry out traditional banking functions--but do so outside, or in ways only loosely linked to, the traditional system of regulated depository institutions. Examples of important components of the shadow banking system include securitization vehicles, asset-backed commercial paper conduits, money market funds, markets for repurchase agreements, investment banks, and mortgage companies. Return to text

6. See Bagehot, Lombard Street, in note 1. Return to text

7. For a more comprehensive discussion of recent changes in the regulatory framework, see Daniel K. Tarullo (2013), " Evaluating Progress in Regulatory Reforms to Promote Financial Stability," speech delivered at the Peterson Institute for International Economics, Washington, May 3. Return to text

8. See Stanley Fischer (1999), "On the Need for an International Lender of Last Resort," Leaving the Board Journal of Economic Perspectives, vol. 13 (Fall), pp. 85-104. Return to text

9. For example, see Board of Governors of the Federal Reserve System (2013), Capital Planning at Large Bank Holding Companies: Supervisory Expectations and Range of Current Practice (PDF) (Washington: Board of Governors, August). Return to text

10. For a more detailed discussion, see Daniel K. Tarullo (2013), "Toward Building a More Effective Resolution Regime: Progress and Challenges," speech delivered at "Planning for the Orderly Resolution of a Global Systemically Important Bank," a conference sponsored by the Federal Reserve Board and the Federal Reserve Bank of Richmond, Washington, October 18. Return to text