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A '''Combined Linear Congruential Generator''' ('''CLCG''') is a [[Pseudorandomness|pseudo-random]] number generator [[algorithm]] based on combining two or more [[linear congruential generator]]s (LCG). A traditional LCG has a [[Periodic function|period]] which is inadequate for complex system simulation.<ref name="Banks, Carson, Nelson, Nicol-2010">Banks 2010, Sec. 7.3.2</ref> By combining two or more LCGs, random numbers with a longer period and better statistical properties can be created.<ref name="Banks, Carson, Nelson, Nicol-2010">Banks 2010, Sec. 7.3.2</ref>
The algorithm is defined as:<ref name="L'Ecuyer-1988">L'Ecuyer 1988</ref>


: <math>X_i \equiv \left( \sum_{j=1}^k (-1)^{j-1}Y_{i,j} \right)\pmod{(m_1 - 1)}</math>


Four or five years ago, a reader of some of my columns bought the domain name jamesaltucher.com and gave it to me as a birthday gift. It was a total surprise to me. I didn't even know the reader. I hope one day we meet.<br>Two years ago a friend of mine, Tim Sykes, insisted I had to have a blog. He set it up for me. He even wrote the "About Me". I didn't want a blog. I had nothing to say. But about 6 or 7 months ago I decided I wanted to take this blog seriously. I kept putting off changing the "About Me" which was no longer really about me and maybe never was.<br>A few weeks ago I did a chapter in one of the books in Seth Godin's "The Domino Project". The book is out and called "No Idling". Mohit Pawar organized it (here's Mohit's blog) and sent me a bunch of questions recently. It's intended to be an interview on his blog but I hope Mohit forgives me because I want to use it as my new "About Me" also.<br>1. You are a trader, investor, writer, and entrepreneur? Which of these roles you enjoy the most and why?<br>When I first moved to New York City in 1994 I wanted to be everything to everyone. I had spent the six years prior to that writing a bunch of unpublished novels and unpublished short stories. I must've sent out 100s of stories to literary journals. I got form rejections from every publisher, journal, and agent I sent my novels and stories to.<br>Now, in 1994, everything was possible. The money was in NYC. Media was here. I lived in my 10�10 room and pulled suits out of a garbage bag every morning but it didn't matter...the internet was revving up and I knew how to build a website. One of the few in the city. My sister warned me though: nobody here is your friend. Everybody wants something<br>
where:
And I wanted something. I wanted the fleeting feelings of success, for the first time ever, in order to feel better about myself. I wanted a girl next to me. I wanted to build and sell companies and finally prove to everyone I was the smartest. I wanted to do a TV show. I wanted to write books<br>
: <math> m_1</math> — the "[[modulo operation|modulus]]" of the first LCG
But everything involved having a master. Clients. Employers. Investors. Publishers. The market (the deadliest master of all). Employees. I was a slave to everyone for so many years. And the more shackles I had on, the lonelier I got<br>
: <math> Y_{i,j}</math> — the i<sup>th</sup> input from the j<sup>th</sup> LCG
(Me in the Fortress of Solitude<br>
: <math> X_i </math> — the i<sup>th</sup> generated random integer
Much of the time, even when I had those moments of success, I didn't know how to turn it into a better life. I felt ugly and then later, I felt stupid when I would let the success dribble away down the sink<br>
 
I love writing because every now and then that ugliness turns into honesty. When I write, I'm only a slave to myself. When I do all of those other things you ask about, I'm a slave to everyone else<br>
with:
Some links<br>
: <math> R_i \equiv \begin{cases}
33 Unusual Tips to Being a Better Write<br>
  X_i/m_1  & \text{for }  X_i >  0 \\
"The Tooth<br>
  (m_1-1)/m_1 & \text{for } X_i=0
(one of my favorite posts on my blog<br><br>
  \end{cases}
2. What inspires you to get up and start working/writing every day<br>
</math>
The other day I had breakfast with a fascinating guy who had just sold a piece of his fund of funds. He told me what "fracking" was and how the US was going to be a major oil player again. We spoke for two hours about a wide range of topics, including what happens when we can finally implant a google chip in our brains<br>
where <math>R_{i}</math> is a [[Uniform distribution (continuous)|uniformly distributed]] random number between 0 and 1.
After that I had to go onto NPR because I firmly believe that in one important respect we are degenerating as a country - we are graduating a generation of indentured servants who will spend 50 years or more paying down their student debt rather than starting companies and curing cancer. So maybe I made a difference<br>
 
Then I had lunch with a guy I hadn't seen in ten years. In those ten years he had gone to jail and now I was finally taking the time to forgive him for something he never did to me. I felt bad I hadn't helped him when he was at his low point. Then I came home and watched my kid play clarinet at her school. Then I read until I fell asleep. Today I did nothing but write. Both days inspired me<br>
== Derivation ==
It also inspires me that I'm being asked these questions. Whenever anyone asks me to do anything I'm infinitely grateful. Why me? I feel lucky. I like it when someone cares what I think. I'll write and do things as long as anyone cares. I honestly probably wouldn't write if nobody cared. I don't have enough humility for that, I'm ashamed to admit<br><br>
If ''W''<sub>''i'',1</sub>, ''W''<sub>''i'',2</sub>, ..., ''W''<sub>''i'',k</sub> are any independent, discrete, random-variables and one of them is uniformly distributed from 0 to ''m''<sub>1</sub>&nbsp;&minus;&nbsp;2, then ''Z''<sub>''i''</sub> is uniformly distributed between 0 and ''m''<sub>1</sub>&nbsp;&minus;&nbsp;2, where:<ref name="L'Ecuyer-1988">L'Ecuyer 1988</ref>
3. Your new book "How to be the luckiest person alive" has just come out. What is it about<br>
:<math> Z_i= \left( \sum_{j=1}^k W_{i,j} \right) \pmod {(m_1-1)} </math>
When I was a kid I thought I needed certain things: a college education from a great school, a great home, a lot of money, someone who would love me with ease. I wanted people to think I was smart. I wanted people to think I was even special.  And as I grew older more and more goals got added to the list: a high chess rating, a published book, perfect weather, good friends,  respect in various fields, etc. I lied to myself that I needed these things to be happy. The world was going to work hard to give me these things, I thought. But it turned out the world owed me no favors<br>
 
And gradually, over time, I lost everything I had ever gained. Several times.  I've paced at night so many times wondering what the hell was I going to do next or trying not to care. The book is about regaining your sanity, regaining your happiness, finding luck in all the little pockets of life that people forget about. It's about turning away from the religion you've been hypnotized into believing into the religion you can find inside yourself every moment of the day<br><br>
Let ''X''<sub>''i'',1</sub>, ''X''<sub>''i'',2</sub>, ..., ''X''<sub>''i'',''k''</sub> be outputs from ''k'' LCGs. If ''W''<sub>''i'',''j''</sub> is defined as ''X''<sub>''i'',''j''</sub>&nbsp;&minus;&nbsp;1, then ''W''<sub>''i'',''j''</sub> will be approximately uniformly distributed from 0 to ''m''<sub>''j''</sub>&nbsp;&minus;&nbsp;1.<ref name="L'Ecuyer-1988">L'Ecuyer 1988</ref> The coefficient "(&minus;1)<sup>''j''&minus;1</sup>" implicitly performs the subtraction of one from ''X''<sub>''i'',''j''</sub>.<ref name="Banks, Carson, Nelson, Nicol-2010">Banks 2010, Sec. 7.3.2</ref>
[Note: in a few days I'm going to do a post on self-publishing and also how to get the ebook for free. The link above is to the paperback. Kindle should be ready soon also.<br>
 
Related link: Why I Write Books Even Though I've Lost Money On Every Book I've Ever Writte<br>
== Properties ==
4. Is it possible to accelerate success? If yes, how<br><br><br>
The CLCG provides an efficient way to calculate pseudo-random numbers. The LCG algorithm is computationally inexpensive to use.<ref name="Pandey-2008">Pandey 2008, Sec. 2.2</ref> The results of multiple LCG algorithms are combined through the CLCG algorithm to create pseudo-random numbers with a longer [[Periodic function|period]] than is achievable with the LCG method by itself.<ref name="Pandey-2008">Pandey 2008, Sec. 2.2</ref>
Yes, and it's the only way I know actually to achieve success. Its by following the Daily Practice I outline in this post:<br>
 
It's the only way I know to exercise every muscle from the inside of you to the outside of you. I firmly believe that happiness starts with that practice<br>
The period of a CLCG is dependent on the seed value used to initiate the algorithm. The maximum period of a CLCG is defined by the function:<ref name="Banks, Carson, Nelson, Nicol-2010">Banks 2010, Sec. 7.3.2</ref>
5. You say that discipline, persistence and psychology are important if one has to achieve success. How can one work on improving "psychology" part<br>
 
Success doesn't really mean anything. People want to be happy in a harsh and unforgiving world. It's very difficult. We're so lucky most of us live in countries without major wars. Our kids aren't getting killed by random gunfire. We all have cell phones. We all can communicate with each other on the Internet. We have Google to catalog every piece of information in history!  We are so amazingly lucky already<br>
:<math> P=((m_1-1)(m_2-1)\cdots(m_k-1))/(2^{k-1}) </math>
How can it be I was so lucky to be born into such a body? In New York City of all places? Just by being born in such a way on this planet was an amazing success<br>
 
So what else is there? The fact is that most of us, including me, have a hard time being happy with such ready-made success. We quickly adapt and want so much more out of life. It's not wars or disease that kill us. It's the [http://Www.Google.de/search?q=minor+inconveniences minor inconveniences] that add up in life. It's the times we feel slighted or betrayed. Or even slightly betrayed. Or overcharged. Or we miss a train. Or it's raining today. Or the dishwasher doesn't work. Or the supermarket doesn't have the food we like. We forget how good the snow tasted when we were kids. Now we want gourmet food at every meal<br>
== Example ==
Taking a step back, doing the Daily Practice I outline in the question above. For me, the results of that bring me happiness. That's success. Today. And hopefully tomorrow<br>
The following is an example algorithm designed for use in 32 bit computers:<ref name="L'Ecuyer-1988">L'Ecuyer 1988</ref>
6. You advocate not sending kids to college. What if kids grow up and then blame their parents about not letting them get a college education<br>
 
I went to one of my kid's music recitals yesterday. She was happy to see me. I hugged her afterwards. She played "the star wars theme" on the clarinet. I wish I could've played that for my parents. My other daughter has a dance recital in a few weeks. I tried to give her tips but she laughed at me. I was quite the breakdancer in my youth. The nerdiest breakdancer on the planet. I want to be present for them. To love them. To let them always know that in their own dark moments, they know I will listen to them. I love them. Even when they cry and don't always agree with me. Even when they laugh at me because sometimes I act like a clown<br>
:<math> k=2 </math>
Later, if they want to blame me for anything at all then I will still love them. That's my "what if"<br>
LCGs are used with the following properties:
Two posts<br>
:<math> a_1=40,014</math>
I want my daughters to be lesbian<br>
:<math>m_1=2,147,483,563</math>
Advice I want to give my daughter<br><br><br>
:<math>a_2=40,692</math>
7. Four of your favorite posts from The Altucher Confidential<br>
:<math>m_2=2,147,483,399 </math>
As soon as I publish a post I get scared to death. Is it good? Will people re-tweet? Will one part of the audience of this blog like it at the expense of another part of the audience. Will I get Facebook Likes? I have to stop clinging to these things but you also need to respect the audience. I don't know. It's a little bit confusing to me. I don't have the confidence of a real writer yet<br>
:<math>c_1=c_2=0</math>
Here are four of my favorites<br>
 
How I screwed Yasser Arafat out of $2mm (and lost another $100mm in the process<br>
The CLCG algorithm is setup as follows:
It's Your Fault<br>
 
I'm Guilty of Torturing Wome<br>
1. The seed for the first LCG, <math> Y_{0,1} </math>, should be selected in the range of [1, 2,147,483,562].
The Girl Whose Name Was a Curs<br>
: The seed for the second LCG, <math> Y_{0,2} </math>, should be selected in the range of [1, 2,147,483,398].
Although these three are favorites I really don't post anything unless it's my favorite of that moment<br>
: Set: <math> i=0 </math>
8. 3 must-read books for aspiring entrepreneurs<br>
 
The key in an entrepreneur book: you want to learn business. You want to learn how to honestly communicate with your customers. You want to stand out<br>
2. The two LCGs are evaluated as follows:
The Essays of Warren Buffett by Lawrence Cunningha<br>
:<math> Y_{i+1, 1} = 40,014 \times Y_{i,1}\pmod {2,147,483,563}</math>
"The Thank you Economy" by Gary Vaynerchu<br>
:<math> Y_{i+1, 2} = 40,692 \times Y_{i,2}\pmod {2,147,483,399}</math>
"Purple cow" by Seth Godi<br>
 
9. I love your writing, so do so many others out there. Who are your favorite writers<br>
3. The CLCG equation is solved as shown below:
"Jesus's Son" by Denis Johnson is the best collection of short stories ever written. I'm afraid I really don't like his novels though<br>
:<math> X_{i+1}= (Y_{i+1, 1} - Y_{i+1, 2})\pmod{2,147,483,562} </math>
"Tangents" by M. Prado. A beautiful series of graphic stories about relationships<br>
 
Other writers: Miranda July, Ariel Leve, Mary Gaitskill, Charles Bukowski, [http://www.pcs-systems.co.uk/Images/celinebag.aspx Celine], Sam Lipsyte, William Vollmann, Raymond Carver. Arthur Nersesian. Stephen Dubner<br><br>
4. Calculate the random number:
(Bukowski<br><br><br><br><br><br><br><br><br>
: <math> R_{i+1} = \begin{cases}
Many writers are only really good storytellers. Most writers come out of a cardboard factory MFA system and lack a real voice. A real voice is where every word exposes ten levels of hypocrisy in the world and brings us all the way back to see reality. The writers above have their own voices, their own pains, and their unique ways of expressing those pains. Some of them are funny. Some a little more dark. I wish I could write 1/10 as good as any of them<br><br>
  X_{i+1}/2,147,483,563 & \text{for }  X_{i+1} > 0 \\
10. You are a prolific writer. Do you have any hacks that help you write a lot in little time<br>
  2,147,483,562/2,147,483,563 & \text{for } X_{i+1}=0
Coffee, plus everything else coffee does for you first thing in the morning<br>
  \end{cases}
Only write about things you either love or hate. But if you hate something, try to find a tiny gem buried in the bag of dirt so you can reach in when nobody is looking and put that gem in your pocket. Stealing a diamond in all the shit around us and then giving it away for free via writing is a nice little hack, Being fearless precisely when you are most scared is the best hack<br><br>
</math>
11. I totally get and love your idea about bleeding as a writer, appreciate if you share more with the readers of this blog<br>
 
Most people worry about what other people think of them. Most people worry about their health. Most people are at a crossroads and don't know how to take the next step and which road to take it on. Everyone is in a perpetual state of 'where do I put my foot next'. Nobody, including me, can avoid that<br>
5. Increment the counter (i=i+1) then return to step 2 and repeat.
You and I both need to wash our faces in the morning, brush our teeth, shower, shit, eat, fight the weather, fight the colds that want to attack us if we're not ready. Fight loneliness or learn how to love and appreciate the people who want to love you back. And learn how to forgive and love the people who are even more stupid and cruel than we are. We're afraid to tell each other these things because they are all both disgusting and true<br>
 
You and I both have the same [http://Www.google.Co.uk/search?hl=en&gl=us&tbm=nws&q=color+blood&gs_l=news color blood]. If I cut my wrist open you can see the color of my blood. You look at it and see that it's the same color as yours. We have something in common. It doesn't have to be shameful. It's just red. Now we're friends. No matter whom you are or where you are from. I didn't have to lie to you to get you to be my friend<br>
The maximum period of the two LCGs used is calculated using the formula:.<ref name="Banks, Carson, Nelson, Nicol-2010">Banks 2010, Sec. 7.3.2</ref>  
Related Links<br>
:<math>(m-1)</math>
How to be a Psychic in Ten Easy Lesson<br>
This equates to 2.1x10<sup>9</sup> for the two LCGs used.
My New Year's Resolution in 199<br><br><br>
 
12. What is your advice for young entrepreneurs<br>
This CLCG shown in this example has a maximum period of:
Only build something you really want to use yourself. There's got to be one thing you are completely desperate for and no matter where you look you can't find it. Nobody has invented it yet. So there you go - you invent it. If there's other people like you, you have a business. Else. You fail. Then do it again. Until it works. One day it will<br>
:<math> (m_1-1)(m_2-1)/2 = 2.3 \times 10^{18}</math>
Follow these 100 Rules<br>
This represents a tremendous improvement over the period of the individual LCGs. It can be seen that the combined method increases the period by 9 orders of magnitude.
The 100 Rules for Being a Good Entrepreneur<br>
 
And, in particular this<br>
Surprisingly the period of this CLCG may not be sufficient for all applications:.<ref name="Banks, Carson, Nelson, Nicol-2010">Banks 2010, Sec. 7.3.2</ref> Other algorithms using the CLCG method have been used to create pseudo-random number generators with periods as long as 3x10<sup>57</sup>.<ref name="L'Ecuyer-1996">L'Ecuyer 1996</ref><ref name="L'Ecuyer-1999">L'Ecuyer 1999</ref><ref name="L'Ecuyer, Simard, Chen, Kelton-2002">L'Ecuyer 2002</ref>
The Easiest Way to Succeed as an Entrepreneu<br>
 
In my just released book I have more chapters on my experiences as an entrepreneur<br>
==See also==
13. I advocate the concept of working at a job while building your business. You have of course lived it. Now as you look back, what is your take on this? Is it possible to make it work while sailing on two boats<br><br>
* [[Linear congruential generator]]
Your boss wants everything out of you. He wants you to work 80 hours a week. He wants to look good taking credit for your work. He wants your infinite loyalty. So you need something back<br>
 
Exploit your employer. It's the best way to get good experience, clients, contacts. It's a legal way to steal. It's a fast way to be an entrepreneur because you see what large companies with infinite money are willing to pay for. If you can provide that, you make millions. It's how many great businesses have started and will always start. It's how every exit I've had started<br>
==References==
14. Who is a "person with true moral fiber"? In current times are there any role models who are people with true moral fiber<br><br><br>
<references/>
I don't really know the answer. I think I know a few people like that. I hope I'm someone like that. And I pray to god the people I'm invested in are like that and my family is like that<br>
* Banks, Jerry., Carson, John S., Nelson, Barry L., Nicol, David M., (2010). ''Discrete-Event System Simulation'', 5th edition, Prentice Hall, ISBN 0-13-606212-1.
I find most people to be largely mean and stupid, a vile combination. It's not that I'm pessimistic or cynical. I'm very much an optimist. It's just reality. Open the newspaper or turn on the TV and watch these people<br>
* {{cite journal | author = P. L'Ecuyer |title=Efficient and Portable Combined Random Number Generators |journal=[[Communications of the ACM]] |year=1988 |volume=31 |pages=742–749, 774}}
Moral fiber atrophies more quickly than any muscle on the body. An exercise I do every morning is to promise myself that "I'm going to save a life today" and then leave it in the hands of the Universe to direct me how I can best do that. Through that little exercise plus the Daily Practice described above I hope to keep regenerating that fiber<br><br>
*{{cite web|last=Pandey|first=Niraj|title=IMPLEMENTATION OF LEAP AHEAD FUNCTION FOR LINEAR CONGRUENTIAL AND LAGGED FIBONACCI GENERATORS|url=http://www.cs.fsu.edu/research/projects/nirajproject.pdf|publisher=FLORIDA STATE UNIVERSITY|accessdate=13 April 2012}}
15.  Your message to the readers of this blog<br>
* {{cite journal | author = P. L'Ecuyer |title=Combined Multiple Recursive Number Generators|journal=[[Operations Research]] |year=1996 |volume=44 |pages=816–822}}
Skip dinner. But follow me on Twitter.<br><br><br><br>
* {{cite journal | author = P. L'Ecuyer |title=Good Parameters and Implementations for Combined Multiple Recursive Random Number Generators|journal=[[Operations Research]] |year=1999 |volume=47 |pages=159–164}}
Read more posts on The Altucher Confidential �
* {{cite journal | author = P. L'Ecuyer, R. Simard, E.J. Chen, W.D. Kelton |title=An Object-Oriented Randon-Number Package with Many Long Streams and Substreams|journal=[[Operations Research]] |year=2002 |volume=50 |pages=1073–1075}}
More from The Altucher Confidentia<br>
 
Life is Like a Game. Here�s How You Master ANY Gam<br><br>
==External links==
Step By Step Guide to Make $10 Million And Then Totally Blow <br><br>
* [https://www.msu.edu/~amthoral/random.ppt An overview of use and testing of pseudo-random number generators ]
Can You Do One Page a Day?
 
{{DEFAULTSORT:Combined Linear Congruential Generator}}
[[Category:Pseudorandom number generators]]
[[Category:Modular arithmetic]]

Revision as of 04:20, 6 October 2013

A Combined Linear Congruential Generator (CLCG) is a pseudo-random number generator algorithm based on combining two or more linear congruential generators (LCG). A traditional LCG has a period which is inadequate for complex system simulation.[1] By combining two or more LCGs, random numbers with a longer period and better statistical properties can be created.[1] The algorithm is defined as:[2]

Xi(j=1k(1)j1Yi,j)(mod(m11))

where:

m1 — the "modulus" of the first LCG
Yi,j — the ith input from the jth LCG
Xi — the ith generated random integer

with:

Ri{Xi/m1for Xi>0(m11)/m1for Xi=0

where Ri is a uniformly distributed random number between 0 and 1.

Derivation

If Wi,1, Wi,2, ..., Wi,k are any independent, discrete, random-variables and one of them is uniformly distributed from 0 to m1 − 2, then Zi is uniformly distributed between 0 and m1 − 2, where:[2]

Zi=(j=1kWi,j)(mod(m11))

Let Xi,1, Xi,2, ..., Xi,k be outputs from k LCGs. If Wi,j is defined as Xi,j − 1, then Wi,j will be approximately uniformly distributed from 0 to mj − 1.[2] The coefficient "(−1)j−1" implicitly performs the subtraction of one from Xi,j.[1]

Properties

The CLCG provides an efficient way to calculate pseudo-random numbers. The LCG algorithm is computationally inexpensive to use.[3] The results of multiple LCG algorithms are combined through the CLCG algorithm to create pseudo-random numbers with a longer period than is achievable with the LCG method by itself.[3]

The period of a CLCG is dependent on the seed value used to initiate the algorithm. The maximum period of a CLCG is defined by the function:[1]

P=((m11)(m21)(mk1))/(2k1)

Example

The following is an example algorithm designed for use in 32 bit computers:[2]

k=2

LCGs are used with the following properties:

a1=40,014
m1=2,147,483,563
a2=40,692
m2=2,147,483,399
c1=c2=0

The CLCG algorithm is setup as follows:

1. The seed for the first LCG, Y0,1, should be selected in the range of [1, 2,147,483,562].

The seed for the second LCG, Y0,2, should be selected in the range of [1, 2,147,483,398].
Set: i=0

2. The two LCGs are evaluated as follows:

Yi+1,1=40,014×Yi,1(mod2,147,483,563)
Yi+1,2=40,692×Yi,2(mod2,147,483,399)

3. The CLCG equation is solved as shown below:

Xi+1=(Yi+1,1Yi+1,2)(mod2,147,483,562)

4. Calculate the random number:

Ri+1={Xi+1/2,147,483,563for Xi+1>02,147,483,562/2,147,483,563for Xi+1=0

5. Increment the counter (i=i+1) then return to step 2 and repeat.

The maximum period of the two LCGs used is calculated using the formula:.[1]

(m1)

This equates to 2.1x109 for the two LCGs used.

This CLCG shown in this example has a maximum period of:

(m11)(m21)/2=2.3×1018

This represents a tremendous improvement over the period of the individual LCGs. It can be seen that the combined method increases the period by 9 orders of magnitude.

Surprisingly the period of this CLCG may not be sufficient for all applications:.[1] Other algorithms using the CLCG method have been used to create pseudo-random number generators with periods as long as 3x1057.[4][5][6]

See also

References

  1. 1.0 1.1 1.2 1.3 1.4 1.5 Banks 2010, Sec. 7.3.2
  2. 2.0 2.1 2.2 2.3 L'Ecuyer 1988
  3. 3.0 3.1 Pandey 2008, Sec. 2.2
  4. L'Ecuyer 1996
  5. L'Ecuyer 1999
  6. L'Ecuyer 2002
  • Banks, Jerry., Carson, John S., Nelson, Barry L., Nicol, David M., (2010). Discrete-Event System Simulation, 5th edition, Prentice Hall, ISBN 0-13-606212-1.
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    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • Template:Cite web
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang

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