 
      中国金融学批判  ——中国金融学不是水平高低的问题,而是有没有的问题!      一、据一位学者的调查,大陆任何机构都在世界前三位的刊物Journal of Financial Economics, Journal of Finance, Review of Financial study上面没有任何发表,在其他级别低一点的金融刊物,如 Journal of Financial and Quantitative Analysis, Financial Management, Journal of Banking and Finance,Financial Analysts Journal也几乎没有任何发表。   二、大多数所谓的“金融学家”都是学政治经济学或管理出身,甚至还有学哲学的,根本没有接受系统的金融训练,而且做实事的金融学者也为数不多。大陆不少搞金融的一谈道金融就是货币银行,国际金融。其实国外的金融学主要是研究金融市场(financial market,如股市、债券衍生工具等),公司财务(corporate finance,如股利,资本结构,收购等)。货币经济学(monetary economics)在国外主要算是宏观经济学,国际金融则更多的是属于国际经济学(international economics ),两者一般不属于金融学的研究范围。  三、由于金融问题比一般的经济问题更容易量化,国外金融早已经数学化和计量化,不是数学高手,统计专家是很难有什么成就,因此国外金融学博士的课程中充满的大量的数学和统计方法,而且很多金融学家本身就是物理或数学出身,而国内的大多数金融学者连最基本的统计教材都没有学过,连异方差这些基本概念都不懂(更不用说什么GMM,SDF),一写论文就是三段式的老套路:现状,问题,对策。没有理论体系,也没有数据,想怎么说就怎么说。     四、大陆金融学者热中与搞政策研究。翻开大陆金融杂志,每篇文章几乎都是三段式的老套路:现状,问题,对策。缺乏理论深度(一位朋友说,这些东西高中生都看得懂),少有理论和实证研究。而看看国外的金融杂志,完全是理论和实证研究。为什么呢?大家都急进功利,当然这与社会环境和历史有很大关系。但是,想用肤浅粗糙的理论就做出优秀的政策研究,那只是水中捞月。      五、一些在权威刊物如《金融研究》《经济研究》还没有真正的实行匿名审稿制度,关系知名度占了主要成分。编辑也没有受过什么现代金融的训练。去年一些事件表明,这些杂志上发表的一些实证研究的结果完全是伪造的。     六、大陆不少搞金融的一谈道金融就是货币银行,国际金融。其实国外的金融学主要是研究金融市场(financial market,如股市、债券衍生工具等),公司财务(corporate finance,如股利,资本结构,收购等)。货币经济学(monetary economics)主要算是宏观经济学,国际金融则更多的是属于国际经济学(international economics ),两者一般不属于金融学的研究范围。     七、国内的经济学在林毅夫、张维迎等一批国外名校经济学博士的推动下,确实取得了明显的进步。金融学则不一样,国内的海规金融学博士少的可怜(重要原因是美国金融学博士的招生量很少,一般是经济学博士的五分之一),很多还不在高校,一些自称搞金融研究的学者(如北大CCER的陈平,其个人主页网址为">http://pchen.ccer.edu.cn/homepage/Homepage%20Chinese/cn.htm" target=_blank>http://pchen.ccer.edu.cn/homepage/Homepage%20Chinese/cn.htm<;/FONT>),根本不是学金融的,也没有任何在国外金融杂志上发表的学术论文。因此,没有真才实学的学者的推动,大陆金融学实在进步甚微。     八、一些所谓的著名金融学家道德素质实在不高。   人大的吴晓求早就被股民称为“庄托”。   清华的宋逢明在《金融工程原理──无套利均衡分析》一书中自称是国际金融工程协会(International Association of Financial Engineers ;
">http://www.iafe.org/" target=_blank>http://www.iafe.org/<;/FONT> ;)大陆首名会员,实际上这个协会才创办十几年,是一个根本没有什么学术地位的组织(比AFA,FAMA,WFA差远了)。而且,只要交65美元会费任何人都可以参加(见
">http://www.iafe.org/about/join.ihtml" target=_blank>http://www.iafe.org/about/join.ihtml<;/FONT>,其他协会多数也都这样,如AEA,AFA,WFA等),居然以此为荣。   北大CCER的陈平教授自称自己的研究方向是金融、金融工程,可是他在美国是学物理的,更让人无法理解的是,他的任何一篇学术论文都不是在国外金融杂志上发表的,他的重要成就是关于动力学、运筹、非线性方面的(这才是他真正的研究方向)。这种既没有受过相关训练,又没有相关成果就称自己是这方面的专家的态度在国外实在是罕见。     因此,国外的一般水平的金融学教授来大陆授课的收入最低每天5千美圆,大陆所谓“最著名的金融学家”的收入则还不到几千人民币。另外,一些好的单位招收高级研究人员(如深圳证券交易所)时,只要国外的博士。     笔者写这个东西不是想批评谁,主要是想告诉大家一些真实的信息:   1、对于学生来说,最好不要在大陆学习金融学(美国的金融学当然是最好,全世界前20名的金融系应该都在美国),实在没有办法可以考国外的金融方面的资格考试如CFA,CRM(注册风险管理师),CFP(注册金融规划师),这些考试能使你学到一些真正有用的东西,也能得到国际的公认。     2、对于金融机构来说,要认清大陆金融教育的水平,在员工选拔和培养时用用心。     3、对于老师来说,应该虚心学习现代金融理论,停止误人子弟         注释1:什么是现代金融学?   现代金融学至少可以分为,金融市场,金融机构和服务,公司理财和治理这三大部分。   就Financial Markets这方面而言,一个这方面的博士应该掌握下面的东西   首先掌握一些计量和数理的工具:GMM, GLM, ARCH系列,非参数方法,非线性的分析方法(如Chaos),经济学的各种均衡理论,泛函和实变等数学基础也是必须的。   还应该掌握:高级的资产定价理(包括动态定价理论,定价模型检验等),微观结构理论,市场效率理论(包括各种事件研究方法),利率的期限结构理论,固定收益证券定价等。   下面是一些国外金融学博士课程的网页大家可以去看一下,看看到底他们在学什么(本人一般也是通过看国外研究生课程的syllabus来自学金融理论的)。!    Finance Courses on the Web   
">http://www.cob.ohio-state.edu/fin/resources_education/edcourse.htm" target=_blank>http://www.cob.ohio-state.edu/fin/resources_education/edcourse.htm<;/FONT>     An Introduction to Theoretical Finance, Fall 2000   
">http://faculty.haas.berkeley.edu/sagi/" target=_blank>http://faculty.haas.berkeley.edu/sagi/<;/FONT>     Empirical Research in Finance: A Reading List   
">http://www.cob.ohio-state.edu/fin/921/karolyi/outline.htm" target=_blank>http://www.cob.ohio-state.edu/fin/921/karolyi/outline.htm<;/FONT>#Link72     Ph.D. Course in Asset Pricing (239A)   
">http://www.personal.anderson.ucla.edu/monika.piazzesi/" target=_blank>http://www.personal.anderson.ucla.edu/monika.piazzesi/<;/FONT>     An introduction to continuous-time asset pricing   
">http://www-personal.umich.edu/~shumway/courses.dir/f872.dir/f872.html" target=_blank>http://www-personal.umich.edu/~shumway/courses.dir/f872.dir/f872.html<;/FONT> ; 

[此贴子已经被作者于2005-8-19 17:45:03编辑过]




我觉得该文的观点略有偏颇。目前,金融学可以类似于经济学,划分为宏观和微观两大分支。货币银行学应属于宏观金融学范畴。而金融经济学和金融工程等属于微观金融学范畴。金融学的这两个分支只是学术上方向不同而已。楼主若把微观金融等同于金融学可能也不太合适吧!
 [em09]
[em09]
我觉得该文的观点略有偏颇。目前,金融学可以类似于经济学,划分为宏观和微观两大分支。货币银行学应属于宏观金融学范畴。而金融经济学和金融工程等属于微观金融学范畴。金融学的这两个分支只是学术上方向不同而已。楼主若把微观金融等同于金融学可能也不太合适吧!
 [em09]
[em09]事实上,金融根本就不分宏观微观,经济要分宏观微观,是因为有政府,社会的存在。我不知道你同意不同意,中国的现代经济理论都来自于外国,在外国宏观微观计量经济学是3个不同的词,而金融只有一个词,这就体现了,金融本来就只有一个方向,没宏观微观之分。

楼上说得对,金融没有宏观微观的区分,就是指的对金融市场的微观研究。说有个宏观金融学,不过是某些中国学者的强词夺理,他们不愿意有一天失去自己的话语权,只能这样继续误人子弟。
[此贴子已经被作者于2005-8-20 17:10:25编辑过]


好像宋分明是北大数学学士,在清华读了系统工程的博士,后去米国又去学了一段,逾期不归,在那边的银行干了一段时间,回来清华的,
我读书时,他的学生告诉我的.
楼主文章可打90分,建议版主加分500,奖励之.
[此贴子已经被作者于2005-8-21 0:53:42编辑过]









http://www.stat.washington.edu/compfin/index.shtml
The needs of the modern finance, risk, and insurance industries demand a broad interdisciplinary and computationally oriented approach to educating the next generation of financial researchers, analysts, risk managers, and financial information technology professionals. The Computational Finance program addresses these needs by leveraging faculty expertise in a number of departments to integrate education and research across the following key areas: (a) finance concepts and theory; (b) mathematics, statistics and econometric modeling and analysis methods needed to model, analyze and predict the behavior of financial assets; and (c) computer science and information systems tools needed to implement modeling and analysis methods in finance industry organizations. The participating departments are: Economics, Finance, Mathematics, and Statistics.
http://www.stat.washington.edu/compfin/Courses/
This course is an introduction to computational methods and statistical analysis in finance. It utilizes concepts from microeconomics, finance, mathematical optimization, data analysis, probability models, statistical analysis and econometrics. Topics in financial economics include asset return calculations, portfolio theory, index models, the capital asset pricing model and investment performance analysis. Computational topics covered include optimization methods involving equality and inequality constraints and basic matrix algebra. Statistical topics to be covered include probability and statistics with the use of calculus, descriptive statistics and data analysis, linear regression, basic time series methods, bootstrapping and the simulation of random data. The course will utilize Microsoft Excel, the S-PLUS statistical modeling language and the S+FinMetrics module.
European and American options, futures, forwards, exotic options. Ito process, Ito's lemma and Black-Scholes via risk neutral pricing. Binomial and trinomial tree models. Delta and gamma hedging. Implied volatility and volatility smile. Implied binomial trees. Management of market risk via value-at-risk and expected tail loss. Derivative pricing under deviations from assumptions of Black-Scholes: non-Gaussian returns, jump-diffusion models, time-varying volatility. Volatility estimation via EWMA and GARCH models. Yield curves and forward rates. Interest rate models, interest derivatives, introduction to credit derivatives. Computational methods and use of empirical price and returns data is an important component of the course. S-PLUS will be used for computational tasks such as exploring the distribution of asset returns, writing binomial tree pricing model methods, Monte Carlo pricing of exotic derivatives, estimating implied volatilities and volatilities, estimating the volatility smile, yield curve and forward rate smoothing, binomial and trinomial tree models for interest rate derivative pricing.
Decision making under uncertainty, information and capital market efficiency, portfolio theory, capital asset pricing model, arbitrage pricing model, and options pricing model.
The techniques presented in the course emphasize a cash flow approach. Topics include deterministic cash flow analysis (time value of money, present value, internal rate of return, taxes, inflation), fixed income securities, duration and bond portfolio immunization, term structure of interest rates (spot rates, discount factors, forward rates), Fisher-Weill duration and immunization, capital budgeting, dynamic optimization problems, investments under uncertainty, mean-variance portfolio theory, capital asset pricing, forwards, futures, swaps, and hedging risk.
This course will cover various methods for solving optimization problems occuring in data fitting, such as the Choleski, SVD, and conjugate gradient methods for linear least squares, algorithms for penalized least squares with L2 and L1 penalty, gradient boosting, the Marquardt method for nonlinear least squares, Newton and quasi-Newton methods, and the EM algorithm for maximum likelihood estimation. The course also discusses motivating examples from a variety of areas.
This course presents the foundations of stochastic calculus needed for the Black-Scholes theory of option pricing. As prerequisites the students are assumed to know the basic notions of probability such as independence, expectation, and distribution, and similarly the basic notions of mathematical analysis, such as integration and elementary differential equations, along with analytical maturity. The material is presented without complete mathematical rigor in order to achieve breadth of coverage. However enough mathematical details, including selected proofs, are provided so that the students will have an adequate foundation to read the relevant literature in the financial mathematics field. Material includes Brownian motion, stochastic integration, and the fundamental theorems of stochastic analysis in relation to financial applications.
Empirical research in finance with emphasis on methodology and scientific method. Empirical research in market efficiency, capital asset pricing model, options pricing model, and impact of firms' dividend and financing decisions on firm value.
Portfolio optimization via constrained quadratic programming. Real-world optimization constraints such as long/short investing, sector constraints, diversification constraints, and transaction costs. Use of factor models for portfolio optimization and risk calculations. Active management, residual risk and return, information rules, forecasting, benchmark tracking, performance attribution, back-testing. Use of modern statistical methods: bootstrap re-sampling assessment of variability, robust methods for dealing with outliers, and non-Gaussian modeling of returns. Modern alternatives to mean-variance optimality: value-at-risk (VaR) and conditional value-at-risk (CVaR). Introduction to market risk and credit risk management. Portfolio optimization will be carried out using the S+NUOPT product that provides LP, QP, active set methods and interior point methods for solving large-scale portfolio optimization problems encountered in practice.
Statistical foundations of Monte Carlo simulation in finance, with a focus on applications to pricing derivative products. Basic probability and statistics tools, pseudo-random number generators, low-discrepancy numbers, Monte Carlo accuracy, and variance reduction techniques. Simulating generalized Weiner processes and Ito processes. Models for multivariate asset price simulation, including copula models for cross-sectional correlation. Pricing exotic options via Monte Carlo. The BGM/J framework, Bermudan and European swaptions, exercise boundry calculations. Software implementation, testing and evaluation of selected methods for pricing some types of derivatives is an important ingredient of the course.
Modern tools for managing financial risk. Fixed income securities and interest rate risk, credit risk, foreign currency risk, and insurance. Emphasis on use of futures, forwards, swaps, and option contracts.

事实上,金融根本就不分宏观微观,经济要分宏观微观,是因为有政府,社会的存在。我不知道你同意不同意,中国的现代经济理论都来自于外国,在外国宏观微观计量经济学是3个不同的词,而金融只有一个词,这就体现了,金融本来就只有一个方向,没宏观微观之分。

1) 其实国内本科设立“金融工程”这么一个项目也不合国际规范。
国外的“金融工程”、“金融数学”这些项目主要是硕士项目,招的学生基本上本科是数学、物理、工程背景的。培养目标是为金融公司、投行输送数量策略分析师。
学习时间一般为1年——2年,学费很高。 主干课程一般为———— 金融学基础、随机数学、金融计量、金融计算方法、衍生品定价、风险管理、优化方法与统计计算等。
大部分学校是以数学系为基础,联合一些经济系、金融系、统计系的师资,建立“金融工程”或者“金融数学”项目。
需要注意的是,这并不是一个学术性项目。所以学费高,基本没奖学金,主要目的是为金融公司培养能够熟练进行数量建模的分析师。
2) “就连财金的院长大人也曾在大会上说过有国外的学校批评人大的金融不合国际口径,人大以后要宏微观并重。”
呵呵,说真的这种事情还用的着别人来批评啊! 自己搞的什么东东自己还不知道啊?!!
国内的金融本科生、甚至某些学校的研究生,最重要的必修课程就是《货币银行学》,而国外的金融本科生,上来最先必须要学的就是《公司金融》————这就象是经济系的学生必学的《经济学原理》一样!!! 金融的MBA也要学这个基础的《公司金融》。
甚至金融的PHD也要先修过这门课程,然后才是后续的金融理论、资产定价、连续时间金融、实证资产定价、实证公司金融、金融计量、高级资本市场专题等等课程。
国外经济系或者金融系一般也有一门课程————《MONEY AND BANKING》,就名称看对应于我们的——《货币银行学》。内容本科层次的以米什金的教材为基础,如果是研究生课程,可以讲的深一些,加一些货币经济学的稍高级的材料。
————————
“好像国内大学都在打着金融的幌子做宏观经济学”
——————其实现在就中国的现状来讲,先别说你是搞什么的,先问问你到底搞出了什么?或者说搞懂了什么??!!
中国符合国际规范的金融学家确实不多,但真懂宏观的也不多啊!!!! 比如说“国际金融”,很多人的知识结构还停留在70、80年代的一些ABC知识水平上,也可以做“国际金融”的博士生导师。
看看国外的前沿在哪儿呢??!! 去看看JME、JMCB、JIE等宏观、国际金融的国际杂志吧,问问自己——————能看懂多少?!!
有人告诉你他不懂基本的高级微观、宏观和计量知识,也能看懂这些“国际金融”的前沿文章,你能相信吗???!!
3) 还有一点是我看到前面不少人的帖子强调把“宏观”的内容从金融学中剔除出去。其实这也是一个误区。 因为金融学不但和微观经济学联系密切,而且也和宏观经济学有着密不可分的关系。 很多金融学的大师级人物,都是宏观经济学的大家或者宏观经济学家出身。比如CAMPBELL、COCHRANE,再比如普雷斯科特、STIGLIZ、SHILLER。
这其实很好理解,因为金融学作为一门学科深深的植根于经济学的传统之中。很多金融学研究的问题,也是宏观经济学的焦点。 比如资产价格与货币政策的互动、资产价格泡沫与真实投资的关系、股票溢价与宏观风险分担问题。。。。。等等,不胜枚举。
(1)LUCAS 1978年那篇“纯交易经济中的资产定价”,既是宏观经济学的必读经典,也是每个学习“金融理论”的金融学学生的必读经典。
Lucas Robert Jr., 1978, "Asset Prices in an Exchange Economy", Econometrica, 46, 1429- 1446.
(2)Mehra, 和 Prescott 1985年的文章提出了著名了“股票溢价之迷”,这个问题激励了很多宏观经济学家和金融学家的思考,带动了宏观经济学和金融学的发展。 可以毫不夸张的说,没有对宏观经济学相当的素养,很难对这个问题的解决做出贡献。
ROBERT BARRO————作为一位研究“经济增长”问题的专家,最近也写了一篇关于“股票溢价之迷”的文章。(就是在人民大会堂讲的那篇!)
Mehra, R., and E. Prescott, 1985, The Equity Premium: A Puzzle, Journal of Monetary Economics 15, 145- 161.
Rare Events and the Equity Premium? Barro, Robert J., April 2005.
4) 国外很多金融名系都有大量宏观经济学背景的老师,当然人家无论是宏观还是金融搞的都是符合国际规范的、高水准的,还有就是上面提到的————很多金融问题的研究根本离不开对宏观经济学的探讨。
下面以宾西法尼亚大学沃顿商学院金融系为例,让我们看看几个宏观—金融背景的师资及其研究成果。
A)
Joao F. Gomes
|  | 
Associate Professor of Finance
PhD, University of Rochester, 1997; MA University of Rochester, 1996; BA, New University of Lisbon, Portugal, 1991
Research Areas Macroeconomics; financial economics; labor markets.
http://www.wharton.upenn.edu/faculty/gomesj.html
Current Projects Firm and aggregate level investment; corporate investment and asset prices.
Academic Positions Held Wharton: 1997-present
Representative Publications
(with J. Greenwood and S. Rebelo) "Equilibrum Unemployment." Journal of Monetary Economics (2001). "Financing Investment." American Economic Review (2001).
(with L. Kogan and L. Zhang) Equilibrium Cross Section of Returns.?Journal of Political Economy (2003).
B)
Urban J. Jermann
|  | 
Safra Associate Professor of International Finance and Capital Markets; Associate Professor of Finance
PhD, The Graduate Institute of International Studies, Geneva, Switzerland, 1994; MA, The Graduate Institute of International Studies, Geneva, Switzerland, 1991; Licence mention economie politique, Universite de Geneve, Faculte des sciences economiques et sociales, Geneva, Switzerland, 1988
Research Areas International finance; macroeconomics; asset pricing
http://www.wharton.upenn.edu/faculty/jermann.html
Research Areas International finance; macroeconomics; asset pricing
Current Projects Extracting information from asset prices about the long-run behavior of the economy. International capital flows.
Academic Positions Held Wharton: 1994-present (named Safra Associate Professor of International Finance and Capital Markets, 2005). Previous appointments: University of Virginia; Universite de Geneve. Visiting appointment: University of Rochester
Other Positions Senior Economist, Federal Reserve Bank of Minneapolis, 2000-01; Visiting Scholar, Federal Reserve Bank of Philadelphia, 1997, 1999; Economist, National Australia Bank, Melbourne, 1988-89
Representative Publications (with F. Alvarez) "Efficiency, Equilibrium, and Asset Pricing with Risk of Default." Econometrica (2000). (with F. Alvarez) "Using Asset Prices to Measure the Cost of Business Cycles." NBER (2000). (with M. Baxter and R.G. King) "Nontraded Goods, Nontraded Factors, and International Non-diversification." European Economic Review (1998
3)
Amir Yaron
|  | 
Associate Professor of Finance
PhD, University of Chicago, 1994; MA, University of Chicago, 1991; MA, Tel-Aviv University, 1988; BA, Tel-Aviv University, 1985
Research Areas Asset Pricing; Macroeconomics; International Finance; Econometrics
Current Projects Monetary effects on asset prices; Incomplete markets and the distribution of income and returns.
http://www.wharton.upenn.edu/faculty/yaron.html
Academic Positions Held Wharton: 1997-present. Previous appointments: Carnegie Mellon University
Other Positions Visiting Scholar, Institute for International Economic Studies, Stockholm University, June 1996; Summer Intern, Research Department, International Monetary Fund, 1993; Unit Head, The Financial Advisor to the Chief of Staff, Israel Defense Foreces, 1985-89
Career and Recent Professional Awards; Teaching Awards Alfred Sloan Dissertation Fellowship, 1994
Representative Publications (with L.P. Hansen and J. Heaton) "Finite Sample Properties of Alternative GMM Estimators." Journal of Business and Economics Statistics 55 (1996). "Liquidity Shocks and International Asset Pricing" (1996). (with C. Telmer and K. Storesletten) "Persistent Idiosyncratic Shocks and Incomplete Markets." (1996).
下面这位Andrew B. Abel 更是宏观经济学领域的巨人之一,曾任沃顿金融系主任。著有著名的中级宏观教科书 (with B.S. Bernanke) Macroeconomics. Addison-Wesley Publishing, Co., 1992; 2nd edition, 1995; 3rd edition, 1998; 4th edition, 2001.
D)
Andrew B. Abel
|  | 
Ronald A. Rosenfeld Professor; Professor of Finance and Economics
PhD, Massachusetts Institute of Technology, 1978; AB, Princeton University, 1974
Research Areas Macroeconomics; saving and investment; monetary economics; asset pricing; social security
Current Projects Using general equilibrium asset pricing models to understand behavior of asset returns. Developing stochastic models of capital investment with various forms of adjustment costs. Analyzing social security and its effects on the economy.
http://www.wharton.upenn.edu/faculty/abel.html
Academic Positions Held Wharton: 1986-present (named Ronald A. Rosenfeld Professor, 2003; Robert Morris Professor of Banking, 1989; Ronald O. Perelman Professor of Finance, 1988-89; Amoco Term Professor of Finance, 1986-88). Previous appointments: Harvard University; University of Chicago. Visiting appointments: Tel Aviv University; The Hebrew University of Jerusalem
Other Positions Member, Long-Term Modeling Group, Congressional Budget Office, 2001-present; Member Panel of Economic Advisers, Congressional Budget Office, 2001-present; Member, Technical Panel on Assumptions and Methods, Social Security Advisory Board, 1999; Visiting Scholar, Federal Reserve Bank of Philadelphia, 1989-92; Economic Consultant, Bank of Portugal, 1976
Career and Recent Professional Awards; Teaching Awards Fellow, Econometric Society, 1991; John Kenneth Galbraith Award, Harvard University, 1984; MBA Core Curriculum Cluster Award, 1996-97
Professional Leadership 2001-2005 Editorial Board, Journal of Money, Credit, and Banking, 1993-present; Editorial Board, Federal Reserve Bank of New York Economic Policy Review, 1994-present; Advisory Board, Carnegie-Rochester Conference Series on Public Policy, 1990-present.
Representative Publications (with B.S. Bernanke) Macroeconomics. Addison-Wesley Publishing, Co., 1992; 2nd edition, 1995; 3rd edition, 1998; 4th edition, 2001. "Risk Premia and Term Premia in General Equilibrium." Journal of Monetary Economics 43.1 (February 1999). "The Effects of Investing Social Security Funds in the Stock Market When Fixed Costs Prevent Some Household from Holding Stocks." American Economic Review 91.1 (March 2001).
[此贴子已经被作者于2005-8-23 0:59:58编辑过]

沃顿金融系的课程介绍:
http://finance.wharton.upenn.edu/courses/CourseDesc/
其中不少课程是和“宏观经济学”密切相关的:
FNCE 101 Monetary Economics and the Global EconomyThis is an intermediate-level course in macroeconomics and the global economy, including topics in monetary and international economics. The goal is to provide a unified framework for understanding macroeconomic events and policy, which govern the global economic environment of business. The course analyzes the determinants and behavior of employment, production, demand and profits; inflation, interest rates, asset prices, and wages; exchange rates and international flows of goods and assets; including the interaction of the real economy with monetary policy and the financial system. The analysis is applied to current events, both in the US and abroad. Prerequisites: ECON 001, ECON 002 and MATH 104. Students cannot receive credit for both FNCE 101 and ECON 102. Wharton students are required to take FNCE 101.
FNCE 208 International Corporate FinanceAnalyzes financial problems corporations face that result from operating in an international environment. Major topics covered are corporate strategy and the decision to invest abroad, forecasting exchange rates, international portfolio diversification, managing exchange risk, taxation issues, cost of capital and financial structure in the multinational firm, and sources of financing. Prerequisites: FNCE 100, FNCE 101.
FNCE 219 International Financial MarketsThis course focuses on international financial markets and exchange rates. Topics include pricing in the foreign currency and Eurocurrency markets, use of forward exchange for hedging, short-term returns and market efficiency in the international money markets, foreign currency options, international capital asset pricing, pricing of foreign currency bonds, currency swaps, Eurocurrency syndicated loans, foreign currency financing and exposure management. Prerequisites: FNCE 100, FNCE 101, STAT 101.
FNCE 220 International BankingThis course focuses on international financial institutions and international banking activities. We will examine how current and historical events are reshaping the industry. We will focus on the basic analytics of managing a bank's exposure to liquidity, credit, market and country risk. In addition, we will consider how to evaluate and compare the risk exposures and performance of individual banks. Throughout the semester we will discuss public policy issues such as international debt crises and regulation. Prerequisites: FNCE 100, FNCE 101.
FNCE 602Macroeconomics and the Global Economic Environment This course is required of all students except those who, having prior training in macroeconomics, money and banking, and stabilization policy at an intermediate or advanced level, can obtain a waiver either by credentials or by passing an examination. The purpose of FNCE 602 is to train the student to think systematically about the current state of the economy and macroeconomic policy, and to be able to evaluate the economic environment within which business and financial decisions are made. The course emphasizes the use of economic theory to understand the workings of financial markets and the operation and impact of government policies. Specifically, the course studies the determinants of the level of national income, employment, investment, interest rates, the supply of money, inflation, exchange rates, and the formulation and operation of stabilization policies.
FNCE 719 International Financial Markets FNCE 719 is a course on international financial markets and exchange rates. Topics include pricing in the foreign currency and Eurocurrency markets, use of forward exchange for hedging, short-term returns and market efficiency in the international money markets, foreign currency options, international capital asset pricing, pricing of foreign currency bonds, currency swaps, Eurocurrency syndicated loans, foreign currency financing and exposure management. Prerequisites: FNCE 601, FNCE 602 (FNCE 602 may be taken concurrently, but not FNCE 601).
下面是几门宏观---金融(MACRO---FINANCE)的博士生课程
FNCE 924 Intertemporal Macroeconomics and Finance Fiscal policy with optimizing consumers. Money with optimizing consumers. Asset prices in stochastic dynamic equilibrium models. Intertemporal models of consumption and investment: econometric evidence. Liquidity constraints. Prerequisites: FNCE 912.
FNCE 933 International Finance This course provides an understanding of current academic research in the areas of international finance and international macroeconomics. Students will learn the tools for conducting research in this field. Prerequisites: FNCE 911, FNCE 922 (recommended).
FNCE 937 Applied Quantitative Methods in Finance FNCE 937 uses numerical tools to address a variety of issues in finance. The course has two main objectives. First, it seeks to provide the students with useful quantitative tools to understand and produce frontier research in finance. Second, it applies these tools to advanced topics in both corporate finance and asset pricing. A special emphasis is placed on new and recent research.
[此贴子已经被作者于2005-8-23 0:57:30编辑过]

楼上的 FM3,我文字能力不好,所以表达不清晰
我要表达的中心思想: 金融不分宏观微观
从理论上讲
1,经济分宏观,微观,是因为有政府,社会的存在。要考虑SOCIAL WELFARE,所以出现宏观角度。金融本身并不是 基础性行业,本身米必要分宏观微观。
从实际上讲
2,我国现代教育的分类是从外国引进的,外国MACROECONOMICS,MICROECONOMICS,ECONOMETRICS是3个单词,FINANCE只有一个单词,从来没听说过MACRO-FINANCE这么说的。

我不知道你贴一大堆外国科目想表达什么意思。你搞清楚 SUBJECT和SUB-DISCIPLINE的区别了吗?
下面是几门宏观---金融(MACRO---FINANCE)的博士生课程
FNCE 924 Intertemporal Macroeconomics and Finance Fiscal policy with optimizing consumers. Money with optimizing consumers. Asset prices in stochastic dynamic equilibrium models. Intertemporal models of consumption and investment: econometric evidence. Liquidity constraints. Prerequisites: FNCE 912.
FNCE 933 International Finance This course provides an understanding of current academic research in the areas of international finance and international macroeconomics. Students will learn the tools for conducting research in this field. Prerequisites: FNCE 911, FNCE 922 (recommended).
FNCE 937 Applied Quantitative Methods in Finance FNCE 937 uses numerical tools to address a variety of issues in finance. The course has two main objectives. First, it seeks to provide the students with useful quantitative tools to understand and produce frontier research in finance. Second, it applies these tools to advanced topics in both corporate finance and asset pricing. A special emphasis is placed on new and recent research.
我怎么没看到他们主页上写 “几门宏观---金融(MACRO---FINANCE)”,你自己加上去的吧,谁告诉你学宏观经济,FINANCE也是宏观的?,所有科学本身就是交织在一起的,白痴都知道就算学FINANCE也要学其他科目,比如数学,统计,经济(计量)。说实话我根本没看明白你想要表达的意思。

好啊,那么就把你的眼睛张大一些吧!!!!!
Macro Finance Seminar Spring 2005
http://finance.wharton.upenn.edu/department/Seminar/2005Spring/MacroSpring05/
Micro Finance Seminar Spring 2005
http://finance.wharton.upenn.edu/department/Seminar/2005Spring/MicroSpring05/
_________________________
如果还不明白怎么回事的吧,再去看看JOÃO F. GOMES 的VITA的第2页——
“Committee and Administrative Work
Junior Faculty recruiting committee (Macro-Finance) Ph.D. admissions committee (Finance) Co-organizer, Macro-Finance Seminar Organizer, Macro-Finance Lunch Seminar ”
这个什么意思,就不用一条条的给你翻译了!
呵呵,只能说你对金融了解的太少太少,包括那个楼主转贴的原贴作者,对金融学也是一知半解。
[此贴子已经被作者于2005-8-23 11:43:02编辑过]

http://article.chinalawinfo.com/article/book/review_display.asp?ArticleID=25401

“2、 宏观金融学(Macro Finance)
国际学术界通常把与微观金融学相关的宏观问题研究称为宏观金融学(Macro Finance)。我个人认为,Macro Finance 又可以分为两类:一是微观金融学的自然延伸,包括以国际资产定价理论为基础的国际证券投资和公司金融(International Asset Pricing And Corporate Finance)、金融市场和金融中介机构(Financial Market And Intermediations )等等。这类研究通常设在商学院的金融系和经济系内。第二类是国内学界以前理解的“金融学”,包括“货币银行学”和“国际金融”等专业, 涵盖有关货币、银行、国际收支、金融体系稳定性、金融危机的研究。这类专业通常设在经济系内。
宏观金融学的研究在中国有特别的意义。这是因为微观金融学的理论基础是有效市场理论,而这样的市场在中国尚未建立,所以公司和投资者都受到更大范围的宏观因素影响。金融学模型总会在开始说“让我们假设……”,例如,以金融的范式——资本资产定价模型(CAPM)为例,詹森(1972)归纳出CAPM建立在下述七个假设上:所有投资者追求单周期的财富期望效用最大化;根据期望收益的均值和方差选择资产组合;可以无限量地拆借资金;对所有资产的收益回报有相同的估计;他们是价格的接受者,资本市场是完全竞争的;资产总量是固定的,没有新发行的证券,并且证券可以完全分离,交易无成本;最后,资本市场无税收。这些假设显然过于苛刻,尤其在中国这样的不成熟市场更难成立。
诸如此类的假设,侧面反映了宏观经济体制、金融中介和市场安排等问题。而这些问题,正是我这里所定“宏观金融学”的研究内容。我们必须重视对这些假设本身的研究。”
———————————————— 张新上面这段话是符合客观事实的。如果有人觉得他的学术地位不够,请看王江的论述:
http://www.beiwang.com/f/list.asp?id=78
(一)金融理论研究方面
关于金融理论研究方面,按照王江教授的说法,目前金融学的研究主要有三块。这三方面也和各个国家金融体系的发展提出的要求密切相关。它们分别是;
第一,宏观方面的金融框架体系问题,是否有最优的模式,以及各个体系之间怎样比较。
从美国开始,波及到欧洲和日本的一个主要冲击就是金融创新。对风险的认识和管理技术的提高,计算机的大量应用,技术上有很多新的发展,这些对美国的金融体系都产生了很大的冲击,因为美国金融体系的框架基本上是在大萧条以后的几个立法的基础上形成的,很多年中并没有大的变化,尤其是没有很快适应金融操作方面出现的一些新的理论和技术。所以金融界就有很多新的工具来避开当时的立法所订下的限制。简单的例子是,美国的商业银行业大萧条后基本上就是在那个框架内发展的。这个框架对银行业本身进行了很多限制,比如银行之间不能竞争得很厉害,银行不能跨州经营,在每个州内开分行也有很多限制,还规定其他金融企业不能参与银行业的很多业务等。这样的状态维持了很长时间,造成了商业银行没有激励机制和发展创新。20世纪70年代开始,随着信用卡的出现以及货币市场的发展,流动性的提高,为很多金融企业,如投资银行,或专门为信用卡业务服务的公司,提供了新的方法,他们从商业银行那里抢走了业务。比如,以前的短期存款,流动性特别高,商业银行利用这部分资金自己投资的时候,就会担心存款人马上抽资。但在货币市场流动性提高后,投资银行就可以给投资者扩大这样的服务,给客户开支票,这样下来的结果是没有人愿把钱存到银行。商业银行在货币市场里的操作由于其受到保护,缺乏竞争力,提供的回报也比投资银行低很多,他们的业务就越来越差,这也促使商业银行提出把商业银行的限制放松的要求,让他们能做投资银行业务。但放开以后,由于人员素质和其他因素,短期内商业银行还是没有太大的竞争力。这就是说,随着金融技术的发展,很多做法已经绕过了以前银行法所订下的金融结构的限制。对日本而言,随着新的金融工具的产生对原有的金融架构也产生了很大冲击,从20世纪80年代中期以后,金融体系开始放开。也就是从那时开始,金融市场的国际化又提出了更多的问题。
总之,各国之间的金融体系差别很大,比如说美国和英国的金融体系就与德国和日本差很远。一个是以币场为主,而且越来越突出;一个是以银行为主。各种体系间不仅有互相竞争的问题,也可能有互相演变的问题,这就涉及到演变的方向,哪个体制好一些?从宏观方面来讲,这是目前关注最多的金融问题。结合国内的情况来讲,这个问题也很突出。由于改革开放的需要,也需要建立一个很发达的金融体系,但具体道路可能和西方不太一样,但问题是一样的。
第二是微观方面的,主要讨论两个问题,一是定价问题,二是风险管理问题。
定价问题在有些方面取得了很大进展,尤其是在债券的定价和衍生证券的定价方面。市场也由于这些新技术的触动而发展得很快。但有些领域的发展很有限,比如说股票价格的确定,特别是对流动性比较差的资产的定价问题。虽然从20世纪0年代开始,已经出现了一些模型,但它们的可靠性还是有很多问题。最近面临的挑战就是很多网络公司在没有很多具体内容的时候就可以筹集大量的资金,市价能涨到惊人的水平,这些都对定价理论提出了很大的挑战,不管是从研究还是从实际操作上来讲都有很多没有解决的问题。
风险管理的问题从20世纪50年代末开始建立了一些对金融风险分析的框架,随着亚洲金融风暴的发生,后来1998年长期资本投资公司引起的金融风波,使得从政府到理论界到企业界的很多人认识到以前对风险的认识是不够的。很多结构性的风险以及所谓的小概率、大幅度的风险在以前的框架中是考虑得不够的,而这些对于从宏观层面控制金融风险是非常重要的。所以这就向各方面提出了尖锐的挑战,成为现在很热门的题目,虽然有各种各样的方案和设想,但还远远没有达到成熟。
第三是公司财务方面的问题,它在过去二十几年来是研究非常活跃的领域。
公司财务方面的研究主要是在公司财务的运作方面。二十多年来不断的发展和创新,对原有的金融理论的框架提出了挑战。20世纪50年代中期,MM理论提出以后,基本上建立了一套传统的公司财务理论的框架,它是以建立在比较理想的完备市场条件下的公司定价理论为基础,来分析公司的财务状况、投资、筹资、兼并和风险管理。这个框架,在20世纪70年代中期开始由于新的衍生工具的出现,企业在筹资及内部激励机制的设计方面有很多新的发展,发明了很多不同类型的证券来进行筹资。这些现象的出现和原有框架不一致,传统框架认为这些东西并不重要,因此对企业中的管理和激励机制等并没有加以考虑。这导致企业在解决激励问题时采用新的工具,并提出了对传统理论的挑战。迄今已有很多新的构想和新的研究方向。现在的研究逐步从理论方面的考虑过渡到实证的定量分析。但这是一个非常复杂的问题,涉及到整个企业机制的设计和从实证的角度进行分析,虽然还没有一个完整的框架,但已经有很多的进展和探索。
[此贴子已经被作者于2005-8-23 11:18:57编辑过]

http://www.econ.ku.dk/fru/conference/
| International Conference on FinanceUniversity of Copenhagen, Denmark, 2-4 September 2005 | 
 | 
| An international conference on finance will take place in Copenhagen, Denmark, on September 2 to 4, 2005. The conference will be hosted by the Institute of Economics, University of Copenhagen and is organized by the newly founded Finance Research Unit (FRU). The conference aims to bring together international researchers in all areas of finance to discuss recent developments in financial research and practice. The conference consists of invited talks as well as contributed sessions. We invite researchers to submit papers on all topics in the field of finance, including financial economics, macro finance, micro finance, mathematical finance, empirical finance as well as financial econometrics. 
 
 Keynote Speakers
 Sponsors | 

http://mooreschool.sc.edu/moore/finance/profiles/fina-faculty.htm
Mary M. Bange, Ph.D. University of Wisconsin at Madison, 1991 Academic Research Interests: Individual Investor Behavior, Corporate Control, Macro-Finance
Shingo Goto, Ph.D. UCLA, 2002 Academic Research Interests: Empirical Asset Pricing, Macro-finance, Applied Time-Series
————————————————————————————
Macro Finance Reading Group 2004-05
http://pages.stern.nyu.edu/~svnieuwe/readinggroup.htm

下面的连接可以找到西北大学金融系几个今年毕业的博士生的简历:
http://www.kellogg.northwestern.edu/finance/curriculum/jobmarket.htm
Yong Wang
Ph.D. 2005, Finance, Kellogg School of Management, Northwestern University BA 1997, MA 1999, Economics, Guanghua 
Research Interests: Empirical Asset Pricing, Financial Markets, Macro-Finance
Advisors: Prof. Deborah Lucas (Co-Chair) Prof. Ravi Jagannathan (Co-Chair) Prof. Lawrence Christiano Prof. Kent Daniel Prof. Annette Vissing-Jorgensen
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