Wednesday, June 15, 2022
Sunday, April 10, 2011
Top Markets For 1Q 2011: Who’s Fastest Off The Starting Line?
source: http://www.fundsupermart.com/main/research/viewHTML.tpl?articleNo=5074
1Q 2011 got off to a good start for investors as most equity markets extended 2010’s spectacular year-end rally. However, the markets encountered severe turbulence as a flock of black swans roiled the markets. The natural disasters afflicting Australia (floods and a hurricane) and Japan (earthquake and resulting tsunami) were just those consisting of natural phenomena or events.
The natural disasters affecting Australia resulted in commodity prices rising as several mines were closed and crops were destroyed in Queensland and Victoria. Lost coal production is expected to cost approximately AUD6 billion while crop damage is estimated to be worth close to AUD2 billion according to Treasurer Wayne Swan.
On the 11th of March, Japan suffered its largest earthquake to date (9.0 on the Richter scale) which triggered a resulting tsunami which surged past the world’s most advanced water barriers, laying waste to almost everything in its path and causing massive devastation currently estimated to be as much as USD299 billion according to the Japanese government. The directly impacted prefectures in the North-Eastern region where the tsunami struck were predominantly agricultural, forestry and fishing-based in nature. Thus, although the region is currently in tatters and the threat of nuclear plant meltdown lingers, the damage done to the Japanese economy could have been much worse, as the manufacturing precincts were spared.
Of those created by man, the turmoil in the Middle East and North Africa (MENA) is one of the events that come foremost to mind. With protests and violent demonstrations plaguing the region, hardmen such as Hosni Mubarak have been forced to resign, something which was un-thought of prior to the recent happenings. The civil war in Libya currently shows no sign of abating despite intervention by US and NATO through a coordinated military air campaign, aimed at forcing Gadaffi’s resignation.
The equity markets of Taiwan and India were the worst performers with returns of -6.7% and -5.8% respectively (in SGD terms). Russia deviated significantly from this emerging market trend to post a stellar first quarter return of 12.9% (in SGD terms) on the back of rising oil prices.
Financial firm EPFR recorded over USD24 billion worth of net redemptions from emerging market funds (as of 21 March 2011), despite emerging markets leading global economic growth in 1Q 2011, particularly the Asia excluding Japan economies.
Developed markets surprised investors with a strong performance, aided by fund inflows of USD57 billion. American equity markets led the charge with a performance of 3.5% (in SGD terms), boosted by fresh equity fund inflows of USD31.9 billion as positive economic data continued to signal the world’s largest economy is firmly on the growth track. European equity markets posted a flat performance but were aided by currency appreciation against both the USD and the SGD. Japan, having endured a massive earthquake and destructive tsunami was the laggard of 1Q 2011 for obvious reasons.
1Q 2011 got off to a good start for investors as most equity markets extended 2010’s spectacular year-end rally. However, the markets encountered severe turbulence as a flock of black swans roiled the markets. The natural disasters afflicting Australia (floods and a hurricane) and Japan (earthquake and resulting tsunami) were just those consisting of natural phenomena or events.
The natural disasters affecting Australia resulted in commodity prices rising as several mines were closed and crops were destroyed in Queensland and Victoria. Lost coal production is expected to cost approximately AUD6 billion while crop damage is estimated to be worth close to AUD2 billion according to Treasurer Wayne Swan.
On the 11th of March, Japan suffered its largest earthquake to date (9.0 on the Richter scale) which triggered a resulting tsunami which surged past the world’s most advanced water barriers, laying waste to almost everything in its path and causing massive devastation currently estimated to be as much as USD299 billion according to the Japanese government. The directly impacted prefectures in the North-Eastern region where the tsunami struck were predominantly agricultural, forestry and fishing-based in nature. Thus, although the region is currently in tatters and the threat of nuclear plant meltdown lingers, the damage done to the Japanese economy could have been much worse, as the manufacturing precincts were spared.
Of those created by man, the turmoil in the Middle East and North Africa (MENA) is one of the events that come foremost to mind. With protests and violent demonstrations plaguing the region, hardmen such as Hosni Mubarak have been forced to resign, something which was un-thought of prior to the recent happenings. The civil war in Libya currently shows no sign of abating despite intervention by US and NATO through a coordinated military air campaign, aimed at forcing Gadaffi’s resignation.
The equity markets of Taiwan and India were the worst performers with returns of -6.7% and -5.8% respectively (in SGD terms). Russia deviated significantly from this emerging market trend to post a stellar first quarter return of 12.9% (in SGD terms) on the back of rising oil prices.
Financial firm EPFR recorded over USD24 billion worth of net redemptions from emerging market funds (as of 21 March 2011), despite emerging markets leading global economic growth in 1Q 2011, particularly the Asia excluding Japan economies.
Developed markets surprised investors with a strong performance, aided by fund inflows of USD57 billion. American equity markets led the charge with a performance of 3.5% (in SGD terms), boosted by fresh equity fund inflows of USD31.9 billion as positive economic data continued to signal the world’s largest economy is firmly on the growth track. European equity markets posted a flat performance but were aided by currency appreciation against both the USD and the SGD. Japan, having endured a massive earthquake and destructive tsunami was the laggard of 1Q 2011 for obvious reasons.
Friday, January 8, 2010
Theory of Speculation
source: http://en.wikipedia.org/wiki/Mathematical_finance
The discipline of financial economics, is concerned with economics underlying theory.
Mathematical finance will derive, and extend, the mathematical or numerical models suggested by financial economics.
A financial economist might study the structural reasons why a company may have a certain share price, a financial mathematician may take the share price as a given, and attempt to use stochastic calculus to obtain the fair value of derivatives of the stock.
Computational finance (also known as financial engineering) focuses on application, while mathematical finance focuses on modeling and derivation.
The Theory of Speculation (published 1900) by Louis Bachelier discussed the use of Brownian motion to evaluate stock options.
Theory of portfolio optimization by Harry Markowitz use mean-variance estimates of portfolios to judge investment strategies.
Using a linear regression strategy to understand and quantify the risk (i.e. variance) and return (i.e. mean) of an entire portfolio of stocks and bonds, an optimization strategy was used to choose a portfolio with largest mean return subject to acceptable levels of variance in the return.
William Sharpe developed the mathematics of determining the correlation between each stock and the market. For their pioneering work, Markowitz and Sharpe, along with Merton Miller, shared the 1990 Nobel Prize in economics, for the first time ever awarded for a work in finance.
With time, the mathematics has become more sophisticated. Thanks to Robert Merton and Paul Samuelson, one-period models were replaced by continuous time, Brownian-motion models, and the quadratic utility function implicit in mean–variance optimization was replaced by more general increasing, concave utility functions .
Black–Scholes
The next major revolution in mathematical finance came with the work of Fischer Black and Myron Scholes along with fundamental contributions by Robert C. Merton , by modeling financial markets with stochastic models. For this M. Scholes and R. Merton were awarded the 1997 Nobel Prize in economics. Black was ineligible for the prize because of his death in 1995.
Since then, many more sophisticated mathematical models and derivative pricing strategies have been developed.
Mathematical tools
Asymptotic analysis
Calculus
Copulas
Differential equations
Ergodic theory
Gaussian copulas
Numerical analysis
Real analysis
Probability
Probability distributions
Binomial distribution
Log-normal distribution
Expected value
Value at risk
Risk-neutral measure
Stochastic calculus
Brownian motion
Lévy process
Itô's lemma
Fourier transform
Girsanov's theorem
Radon–Nikodym derivative
Monte Carlo method
Quantile functions
Partial differential equations
Heat equation
Martingale representation theorem
Feynman–Kac formula
Stochastic differential equations
Volatility
ARCH model
GARCH model
Stochastic volatility
Mathematical models
Numerical methods
Numerical partial differential equations
Crank–Nicolson method
Finite difference method
Derivatives pricing
The Brownian Motion Model of Financial Markets
Rational pricing assumptions
Risk neutral valuation
Arbitrage-free pricing
Futures
Futures contract pricing
Options
Put–call parity (Arbitrage relationships for options)
Intrinsic value, Time value
Moneyness
Pricing models
Black–Scholes model
Black model
Binomial options model
Monte Carlo option model
Implied volatility, Volatility smile
SABR Volatility Model
Markov Switching Multifractal
The Greeks
Optimal stopping (Pricing of American options)
Interest rate derivatives
Short rate model
Hull-White model
Cox-Ingersoll-Ross model
Chen model
LIBOR Market Model
Heath-Jarrow-Morton framework
The discipline of financial economics, is concerned with economics underlying theory.
Mathematical finance will derive, and extend, the mathematical or numerical models suggested by financial economics.
A financial economist might study the structural reasons why a company may have a certain share price, a financial mathematician may take the share price as a given, and attempt to use stochastic calculus to obtain the fair value of derivatives of the stock.
Computational finance (also known as financial engineering) focuses on application, while mathematical finance focuses on modeling and derivation.
The Theory of Speculation (published 1900) by Louis Bachelier discussed the use of Brownian motion to evaluate stock options.
Theory of portfolio optimization by Harry Markowitz use mean-variance estimates of portfolios to judge investment strategies.
Using a linear regression strategy to understand and quantify the risk (i.e. variance) and return (i.e. mean) of an entire portfolio of stocks and bonds, an optimization strategy was used to choose a portfolio with largest mean return subject to acceptable levels of variance in the return.
William Sharpe developed the mathematics of determining the correlation between each stock and the market. For their pioneering work, Markowitz and Sharpe, along with Merton Miller, shared the 1990 Nobel Prize in economics, for the first time ever awarded for a work in finance.
With time, the mathematics has become more sophisticated. Thanks to Robert Merton and Paul Samuelson, one-period models were replaced by continuous time, Brownian-motion models, and the quadratic utility function implicit in mean–variance optimization was replaced by more general increasing, concave utility functions .
Black–Scholes
The next major revolution in mathematical finance came with the work of Fischer Black and Myron Scholes along with fundamental contributions by Robert C. Merton , by modeling financial markets with stochastic models. For this M. Scholes and R. Merton were awarded the 1997 Nobel Prize in economics. Black was ineligible for the prize because of his death in 1995.
Since then, many more sophisticated mathematical models and derivative pricing strategies have been developed.
Mathematical tools
Asymptotic analysis
Calculus
Copulas
Differential equations
Ergodic theory
Gaussian copulas
Numerical analysis
Real analysis
Probability
Probability distributions
Binomial distribution
Log-normal distribution
Expected value
Value at risk
Risk-neutral measure
Stochastic calculus
Brownian motion
Lévy process
Itô's lemma
Fourier transform
Girsanov's theorem
Radon–Nikodym derivative
Monte Carlo method
Quantile functions
Partial differential equations
Heat equation
Martingale representation theorem
Feynman–Kac formula
Stochastic differential equations
Volatility
ARCH model
GARCH model
Stochastic volatility
Mathematical models
Numerical methods
Numerical partial differential equations
Crank–Nicolson method
Finite difference method
Derivatives pricing
The Brownian Motion Model of Financial Markets
Rational pricing assumptions
Risk neutral valuation
Arbitrage-free pricing
Futures
Futures contract pricing
Options
Put–call parity (Arbitrage relationships for options)
Intrinsic value, Time value
Moneyness
Pricing models
Black–Scholes model
Black model
Binomial options model
Monte Carlo option model
Implied volatility, Volatility smile
SABR Volatility Model
Markov Switching Multifractal
The Greeks
Optimal stopping (Pricing of American options)
Interest rate derivatives
Short rate model
Hull-White model
Cox-Ingersoll-Ross model
Chen model
LIBOR Market Model
Heath-Jarrow-Morton framework
Tuesday, May 26, 2009
Harry Brown's Portfolio
Harry Browne constructed his bulletproof portfolio using US-based assets, with a 25% holding in each of the following assets: the S&P 500 index, US Treasury bonds, US money market funds and gold bullion. He tracked his results from 1970 to 2003. On 1 January 1970, the value of the portfolio was 100. By 31 Dec 2003, the portfolio had ballooned to 2026.
The bulletproof portfolio must be safe – The portfolio should insulate you from every possible economic future, be it periods of prosperity, recession, inflation or deflation.
The bulletproof portfolio must be stable – The portfolio shouldn’t gyrate wildly with the market. Your mood shouldn’t depend on the market.
The bulletproof portfolio must be simple – Maintaining the bulletproof portfolio should require very little of your time. You shouldn’t have to watch the market to know your money is working for you.
The Bulletproof Asset Allocation
Economic and corresponding market cycles generally move through four stages:
Prosperity
Inflation
Recession
Deflation
Each stage corresponds with the outperformance of a certain asset class.
Prosperity: Life is good. Stocks are up, business is thriving. Bonds are doing fairly well too, although less so than stocks. (Hold stocks)
Inflation: Prices are rising. The value of paper money falls and people turn to the second best alternative: gold. (Hold gold)
Recession: Cash is king. When everything else is falling in value, it outperforms by standing still. (Hold cash)
Deflation: Prices are falling. Interest rates loosen to stimulate spending. As interest rates fall, bond prices go up. (Hold bonds)
Portfolio suggested by fundsupermart
Stocks: The Schroder Global Smaller Cos Fund, 9 year track record.
Bonds: UOB United Global Bond SGD, 10 year track record.
Cash: LionGlobal SGD Money Market, 9 year track record.Gold:
Physical gold, in SGD.
read more at http://www.fundsupermart.com/main/research/viewHTML.tpl?articleNo=3466
The bulletproof portfolio must be safe – The portfolio should insulate you from every possible economic future, be it periods of prosperity, recession, inflation or deflation.
The bulletproof portfolio must be stable – The portfolio shouldn’t gyrate wildly with the market. Your mood shouldn’t depend on the market.
The bulletproof portfolio must be simple – Maintaining the bulletproof portfolio should require very little of your time. You shouldn’t have to watch the market to know your money is working for you.
The Bulletproof Asset Allocation
Economic and corresponding market cycles generally move through four stages:
Prosperity
Inflation
Recession
Deflation
Each stage corresponds with the outperformance of a certain asset class.
Prosperity: Life is good. Stocks are up, business is thriving. Bonds are doing fairly well too, although less so than stocks. (Hold stocks)
Inflation: Prices are rising. The value of paper money falls and people turn to the second best alternative: gold. (Hold gold)
Recession: Cash is king. When everything else is falling in value, it outperforms by standing still. (Hold cash)
Deflation: Prices are falling. Interest rates loosen to stimulate spending. As interest rates fall, bond prices go up. (Hold bonds)
Portfolio suggested by fundsupermart
Stocks: The Schroder Global Smaller Cos Fund, 9 year track record.
Bonds: UOB United Global Bond SGD, 10 year track record.
Cash: LionGlobal SGD Money Market, 9 year track record.Gold:
Physical gold, in SGD.
read more at http://www.fundsupermart.com/main/research/viewHTML.tpl?articleNo=3466
Monday, May 25, 2009
Jean Chatzky
As a financial journalist and motivational speaker, Jean’s “You Don’t Have to Be Rich (2003)” would make you feel good about yourself even if you are not one of those rich people. She enlightens you on how to improve yourself and balance your life. Another book, titled “Make Money, Not Excuses (2008)”, also works as a good practical guide to those who are not taking care of their own finances yet.
you might want to read more on http://www.jeanchatzky.com/ , http://en.wikipedia.org/wiki/Jean_Chatzky
you might want to read more on http://www.jeanchatzky.com/ , http://en.wikipedia.org/wiki/Jean_Chatzky
Saturday, April 25, 2009
Wednesday, April 22, 2009
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