大家都说差距大,我想知道到底差距到底在哪里?
有没有哪个国外的师兄指教下,最好能列出具体的科目的差别
[此贴子已经被作者于2006-2-19 20:23:25编辑过]
我也不清楚,但是国外有发达的金融市场,因此实用性和目的性较强.
国内金融市场不发达,还没有金融衍生产品市场,不管是什么科目,学生问你这些东西有什么用啊,你能回答到国外用去吗?
意思是说理论和实践的差别咯
但是国内的衍生产品目前的品种少的可怜啊,这好象不能怪学术本身吧
而且,金融工程的东西不一定都是衍生产品市场(虽然主要是),国内所有内嵌衍生产品的金融工具都可以作为研究对象,最简单的就是银行存单,另外股票也是一种期权,同样可以用金融工程来研究的,还有什么可转债等一系列的债券,再加上涉外公司的相关业务.
我住在国内,对国外的情况并不清楚多少
不过,我感觉差距主要在两方面
国外是创新者,国内只是跟随者
国外有足够好的数据,国内没有
supposed that we just limit our eyes to the status quo of teaching & research,we can say:
the FE is sth like Gold in foreign countries,it is sth like Trash in China mainland.
实践差别大,教育差别也很大,我把以前写的帖子重贴一下:
普林斯顿大学金融工程系课程表
普林斯顿大学运营与金融工程系(Operations Research and Financial Engineering )
2006年春季学期课程表
ECO464-FIN519_S2006 Corporate Restructuring (ECO464-FIN519_S2006)
Instructor Users: Ormond Sexton
This course applies topics from microeconomics (Economics 310) and corporate finance
(Economics 363) to study corporate restructuring. Topics include mergers, acquisitions,
joint ventures, divestiture and share repurchases. Each of these is discussed in the context
of the relevant economic theory, institutional and regulatory environment, and with a focus
on shareholder value.
ECO466-FIN521_S2006 Fixed Income: Models and Applications (ECO466-FIN521_S2006)
Instructor Users: Robert Kimmel
This course will deal with no-arbitrage models of contracts based on interest rates
including bonds, forward and future contracts, swaps, options and other derivatives. We will
develop the theory of arbitrage-free pricing of financial assets in discrete and continuous
time, as well as many special models that can be used to price and hedge fixed income
securities.
ECO467-FIN567_S2006 Institutional Finance (ECO467-FIN567_S2006)
Instructor Users: Shmuel Baruch, Markus Brunnermeier
Financial institutions play an increasingly dominant role in modern finance. This course
studies financial institutions and focuses on the stability of the financial system. It
covers important theoretical concepts and recent developments in financial intermediation,
asset pricing under asymmetric information, behavioral finance, and market microstructure.
Topics include market efficiency, asset price bubbles, herding, liquidity crises, risk
management, market design, and financial regulation.
ECO526-FIN596_S2006 Financial Economics II (ECO526-FIN596_S2006)
Instructor Users: Hyun Shin
Review of probability and stochastic processes, stochastic integrals, reduction to
martingale gains from trade, change of variable (Ito's lemma, local time, generalized Ito's
formula, Girsanov's theorem), stochastic differential equations, the Black-Scholes model,
the term-structure of interest rates, equilibrium assest pricing, an introduction to the
optimal control of diffusions and some applications.
FIN502_S2006 Corporate Finance and Financial Accounting (FIN502_S2006)
Instructor Users: Robert Kimmel
Modern financial theory and its implications for decisions faced by corporate financial
officers. We will focus on investment decisions and capital budgeting under various
assumptions about the investment environment (for example, certain or uncertain outcomes)
and the legal/regulatory environment (such as different types of tax regimes). We also
examine financing decisions concerning the type of securities to be issued, amount of
dividends to be paid, etc., plus a selection of additional topics, such as
convertible/hybrid securities, real options, or corporate structure and control will also be
covered.
FIN561_S2006 Master's Project II (FIN561_S2006)
Instructor Users:
Under the direction of a Bendheim affiliated faculty member, students carry out a master's
project, write a report, and present the results in the form of a poster or an oral
presentation in front of an examining committee.
ORF504-FIN504_S2006 Financial Econometrics (ORF504-FIN504_S2006)
Instructor Users: Jianqing Fan
This course covers econometric and statistical methods as applied to finance. Topics
include: 1. Overview of Statistical Methods 2. Predictability of asset returns 3. Discrete
time volatility models 4. Efficient Portfolio and CAPM 5. Multifactor Pricing Models 6.
Intertemporal Equilibrium and Stochastic Discount Models 7. Expectation and present value
relation 8. Simulation methods for financial derivatives 9. Econometrics of financial
derivatives 10. Forecast and Management of Market Risks 11. Multivariate time series in
finance 12. Nonparametric methods in financial econometrics*
ORF515-FIN503_S2006 Asset Pricing II: Stochastic Calculus and Advanced Derivatives (ORF515
-FIN503_S2006)
Instructor Users: Victoria Henderson
This course covers the pricing and hedging of advanced derivatives including topics such as
exotic options, greeks, interest rate derivatives, credit derivatives and real options. The
course will cover basics of stochastic calculus necessary for finance. It is designed for
Masters students.
ORF531-FIN531_S2006 Computational Finance in C++ (ORF531-FIN531_S2006)
Instructor Users: Rene Carmona
The intent of this course is to introduce the student to the technical and algorithmic
aspects of a wide spectrum of computer applications currently used in the financial
industry, and to prepare the student for the development of new applications. The student
will be introduced to C++, the weekly homework will involve writing C++ code, and the final
project will also involve programming in the same environment.
ORF534-FIN534_S2006 Financial Engineering (ORF534-FIN534_S2006)
Instructor Users: John Mulvey
Concepts and methods of financial engineering and financial optimization. Stochastic methods
for valuing portfolios of assets and liabilities. Alternative definitions of risk.
Diversification techniques for reducing risks within large financial organizations. Temporal
issues. Customizing securities by means of asset and liability management systems. Portfolio
optimization.
Masters Programs: Financial Engineering
Curriculum
Starting July 2005, the program requires the completion of 36 credits, of which 18 are required credits and the remaining 18 are elective. The courses will be taken over a 12 month period of full-time studies, starting with a 6 week part I summer session (July 5 - August 12, 2005), continuing through the 2005-2006 academic year and ending with a 6 week Part II summer session (approximately May 22 - June 30, 2006). All courses are for 3 credits, unless stated otherwise.
Summer Part I: 2 Courses (Required Core)
1. SIEO W4606: Stochastic Models for Financial Engineering
2. IEOR E4007: Optimization Models and Methods for Financial Engineering
Fall: 4 Courses (Required Core)
3. IEOR E4403: Advanced Engineering and Corporate Economics
4. IEOR E4703: Monte Carlo Simulation
5. IEOR E4706: Financial Engineering: Discrete-Time Asset Pricing
6. IEOR E4707: Financial Engineering: Continuous-Time Asset Pricing
Spring: 12 Credits Required; at least two courses to be chosen from among the following:
IEOR E4500: Applications Programming for Financial Engineering
IEOR E4708: Topics in Financial Engineering
IEOR E4709: Data Analysis for Financial Engineering
IEOR E4710: Term Structure Models
IEOR E4718: Topics in Derivatives Pricing
IEOR E4731: Credit Risk and Derivatives
Summer Part II: 6 Credits Required
IEOR E4720: Quantitative Issues in Asset Management
IEOR E4721: Modeling Equity Derivatives in Java
IEOR E4722: Mortgage Backed Securities
IEOR E4726: Experimental Finance
A variety of courses are also available from other Departments and Schools at Columbia including the Graduate School of Business, the School of International and Public Affairs, the Departments of Computer Science, Mathematics, Statistics and Economics.
The most different thing is that there is high quality faculty in foreigh university. One of my selected course Empirical Finance is taught by Kenneth J. Singleton, and the other Dynamic Asset Pricing Theory is taught by Darrell Duffie.
Here are the courses I selected for my study in financial mathematics. Hope it can share some hint on quantitative finance study.
| Autum | CS 237A | 3 | Numerical Linear Algebra | |
| MATH 180 | Required | 3 | Introduction to Financial Mathematics | |
| MATH 136 | 3 | Stochastic Processes | ||
| MATH 220A | 3 | Partial Differential Equations | ||
| Winter | ECON 275 | 3 | Time Series and Simultaneous Equation | |
| MATH 220B | Required | 3 | Partial Differential Equations of Applied Mathematics | |
| MATH 236 | Required | 3 | Introduction to Stochastic Differential Equations | |
| MATH 238 | Required | 3 | Mathematical Finance | |
| Spring | MS&E 348 | 3 | Optimization and Uncertainty and Applications in Finance | |
| MATH 239 | Required | 3 | Computation and Simulation in Finance | |
| STATS 240 | Required | 3 | Statistical Methods in Finance | |
| MATH 237 | 3 | Topics in stochastic analysis: Credit Risk | ||
| Autum | GSB F621 | 3 | Empirical Asset Pricing | |
| GSB F326 | 3 | Debt Markets | ||
| GSB F622 | 3 | Dynamic Asset Pricing Theory | ||
| MATH 240 | 3 | Topics in financial mathematics: fixed income models |
[此贴子已经被作者于2006-2-23 19:10:28编辑过]
差别很大。
国内的金融专业的课程设置偏重在银行,国际贸易结算,还有就是提提正卷投资和保险。理论课程偏重,实用性不强。
国外的金融专业课程,银行这部分是基础课程,偏重在正卷投资及各种投资及其衍生物的理论和操作,使用性很强。而且这些学生实习的地方大多都是在金融一线的交易市场及其相关岗位。学出来的学生,绝对不是国内可以相比的。
说句不好听的,我们的学生,毕业前,能看懂交易走试图就算好的了,有的连交易大厅都没进过,晕。
teiitokol 发表于 2010-2-23 21:44
1# 垃圾树
理论上的差距最容易说也是最本质的,就是研究方法的不同。欧美研究金融的人,几乎都是数理系毕业,其数学水平至少可以和数学系研究生相媲美,因为他们在看来,金融是纯粹的理工科。而我们呢,有几个人会认为金融和数学会有那么大的关系?中国研究金融的人,有几个是在本科阶段就打好了足够的数学基础的?恐怕,很多是因为不想学数学才学的金融的吧。
理论上的认识不足,又导致了人们观念的落后,从而导致了制度的落后,观念与制度的落后有导致了教学与研究方法的落后,如此循环往复,最终导致了我国在国际金融市场上的被动挨打局面。
看了前几天我们的国企赔了几百个亿的新闻,心疼啊。
一言以蔽之:我国大面积缺乏具有深厚数理功底的研究工作人员,虽说我们已经有了彭实戈,严加鞍这样的大家。
扫码加好友,拉您进群



收藏
