中国分级基金的定价研究
发布时间:2024-02-19 08:49
分级基金是一类在中国新兴崛起的结构化产品,通过对基金收益分配的安排,将基金份额分成预期收益与风险不同的两类份额。本文主要研究的是如何对这类基金的两类份额进行定价,通过观察发现,分级基金的每一类份额都可以分解成看涨期权,看跌期权和无风险债券,于是我们可以用期权定价理论来解决这类问题。 我们首先采用数字期权模型来定价。数字期权模型的成立是在许多严苛的假设前提下的,其中有一个是不变的波动率,而实际情况却并是不这样。为了解决这一问题,我们又采用了汉森模型,这是一个随机波动率的模型,来此进行定价。国内没有合适的金融产品可以用来校准汉森模型的参数,所以我们采用了基于金融时报中国25指数的期权来校准参数。 我们发现,两者得出的结果和实际市场价格有着些许差距,这也许是由以下这些原因造成的:校准参数的过程,模型的准确性,封闭式基金折价以及市场的不有效性。
【文章页数】:83 页
【学位级别】:硕士
【文章目录】:
Abstract 摘要 1.
Introduction 1.1
Literature
Review 2.
Background
of
the
Thesis 2.1
Structured
Products 2.2
Biggest
Structured
Mutual
Fund
Company
–Proshares 2.3
The
Development
of
Structured
Mutual
Fund
in
China 2.4
Some
basic
knowledge
of
financial
engineering
necessary
for
the
thesis 3.
Using
Digital
Option
Pricing
Model
to
price
the
Structured
Mutual
Fund 3.1
Use
Digital
Option
to
price
Changsheng
Tongqing 3.2
Parameter
estimation
and
Results
of
Pricing 3.3
Improvement
in
risk
free
rate
and
close
end
discount 4.
Stochastic
Volatility
Model 4.1
The
Heston
Model 4.2
Calibration
of
the
Model 4.3
Pricing
Tongqing
A
and
Tongqing
B
using
Heston
Model 4.4
Testing
the
statistic
difference
and
result
analysis 4.5
Possible
reasons
that
theoretical
values
differ
from
market
values 4.6
Economic
intuition
and
Further
work 5.
Conclusion Bibliography Appendix A.1
Pricing
European
Call
using
Numerical
Integration A.2
Calibration
using
Matlab's
lsqnonlin A.3
Pricing
Tongqing
A
and
Tongqing
B
using
Heston
Model A.4
Average
discounts
in
Chinese
closed-end
funds Acknowledgments
本文编号:3902427
【文章页数】:83 页
【学位级别】:硕士
【文章目录】:
Abstract 摘要 1.
Introduction 1.1
Literature
Review 2.
Background
of
the
Thesis 2.1
Structured
Products 2.2
Biggest
Structured
Mutual
Fund
Company
–Proshares 2.3
The
Development
of
Structured
Mutual
Fund
in
China 2.4
Some
basic
knowledge
of
financial
engineering
necessary
for
the
thesis 3.
Using
Digital
Option
Pricing
Model
to
price
the
Structured
Mutual
Fund 3.1
Use
Digital
Option
to
price
Changsheng
Tongqing 3.2
Parameter
estimation
and
Results
of
Pricing 3.3
Improvement
in
risk
free
rate
and
close
end
discount 4.
Stochastic
Volatility
Model 4.1
The
Heston
Model 4.2
Calibration
of
the
Model 4.3
Pricing
Tongqing
A
and
Tongqing
B
using
Heston
Model 4.4
Testing
the
statistic
difference
and
result
analysis 4.5
Possible
reasons
that
theoretical
values
differ
from
market
values 4.6
Economic
intuition
and
Further
work 5.
Conclusion Bibliography Appendix A.1
Pricing
European
Call
using
Numerical
Integration A.2
Calibration
using
Matlab's
lsqnonlin A.3
Pricing
Tongqing
A
and
Tongqing
B
using
Heston
Model A.4
Average
discounts
in
Chinese
closed-end
funds Acknowledgments
本文编号:3902427
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