The NASDAQ released their timeline of the anomalies during U.S. Congressional House Subcommittee on Capital Markets and Government-Sponsored Enterprises[73] hearings on the flash crash.[2] NASDAQ's timeline indicates that NYSE Arca may have played an early role and that the Chicago Board Options Exchange sent a message saying that NYSE Arca was "out of NBBO" (National best bid and offer). The Chicago Board Options Exchange, NASDAQ, NASDAQ OMX BX and BATS Exchange all declared self-help against NYSE Arca.[2]
The 1987 crash was so big that the stock market ended up losing almost $1/2 trillion. Now, what could be the probable reason for such an unnatural crash in the stock market? Market analysts over the years have deduced the reasons which could have resulted in this market crash. The first and foremost reason they found out was that the market lacked liquidity. The market failed to manage the sudden and extremely high volume of sell orders. It seemed that almost all the investors needed to sell their stocks at that particular time. This became difficult for the market to handle and resulted in the crash.
There are numerous housing crash factors discussed below from geopolitical events to trade related to rising interest rates, the end of stimulus spending, and excessively high home prices.  A trade war with China could be crash factor #1.  Will debt, deficits, and tariff barriers be the issues that start bursting housing bubbles? Will it be political opposition by the democrats and meddling within the US?
There are other mitigating factors too such as the strengths in the economy, foreign investors buying property, and rising optimism and confidence since Donald Trump won the election.  At this point, we’re wondering if Obama and Clinton are relieved not to have to face the mess they created? Trump seems to be up to the task and yet, he has purportedly said he would enjoy watching the crash, even if it takes down some of his real estate empire. Is this just a comment on high home prices?
Disclaimer: The views expressed in this article are those of the author and may not reflect those of Kitco Metals Inc. The author has made every effort to ensure accuracy of information provided; however, neither Kitco Metals Inc. nor the author can guarantee such accuracy. This article is strictly for informational purposes only. It is not a solicitation to make any exchange in commodities, securities or other financial instruments. Kitco Metals Inc. and the author of this article do not accept culpability for losses and/ or damages arising from the use of this publication.
BMO’s senior economist Benjamin Tal said in a Toronto Star report on October 14th, the Ontario Government’s Places to Grow program was primarily responsible for the fast rising prices in the GTA market. He also suggests other red tape factors worsened the situation. Prices in Newmarket, Markham, Mississauga, Richmond Hill, Bradford East Gwillimbury and Aurora have definitly crashed.

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The turbulence in India follows bursts of market volatility across Asian and developing countries this year. While a record-breaking surge in U.S. stocks has kept equity markets largely buoyant, some investors are growing skittish as global interest rates rise. The Hong Kong dollar posted its biggest swing since 2003 on Friday, while markets from Turkey to Argentina have endured big spikes in volatility in recent months.
The crucial point of their paper was that sandpile avalanches could not be predicted, and not because of randomness (there was no random component in their model) or because the authors could not figure out how to come up with equations to describe it. Rather, they found it impossible in a fundamental sense to set up equations that would describe the sandpile model analytically, so there was no way to predict what the sandpile would do. The only way to observe its behavior was to set up the model in a computer and let it run.
Flooding has hit U.S. coastal towns three to nine times more often than they did 50 years ago. In Miami, Florida, the ocean floods the streets during high tide. Harvard researchers found that home prices in lower-lying areas of Miami-Dade County and Miami Beach are rising more slowly than the rest of Florida. A study using Zillow found that properties at risk of rising sea levels sell at a 7 percent discount to comparable properties. By 2030, Miami Beach homes could pay $17 million in higher property taxes due to flooding by 2030.
The affordability index continues to be stacked against potential home buyers. As housing and rental prices steadily increase, wages continue to stay relatively stagnant. Historically, the average income-to-housing cost ratio in the U.S. has hovered near 30 percent, but in some metro areas, that number is currently closer to 40 and even 50 percent! This strips away the opportunity to save money as a significant portion of a person’s monthly income is going to keeping a roof over their head.
This book has lots of good statistical information to back up its premises...which seem to boil down to...Buy a home within your means (and he does define how to find that out, which is a good thing if you can't figure it out on your own)...Anticipate that the home market could go down as interest rates rise making your home harder to sell in a pinch (to his credit, he tells you how to avoid that too)...and a few other common sense rules of buying that could be applied to many things. If a person is going to spend 6 figures on anything, you would think that they would take the time to learn what they are doing, but it is obvious to the author and to many other people watchers in the world that too many people just don't put effort into watching where they put their money. So, if you are a person who carefully spends your money without rushing into any purchase, you probably have enough sense to not have to buy this book; and if you are person who is just the opposite, you probably aren't too concerned even now about learning anything about your home purchase, so you aren't even reading this review. Last note: if you were going to buy properties to use for investment purposes, this book could be of assistance. Hope this helps.

Any of the measurements people quote—any of the stock market indexes which go up and down—are just measurements. They're averages. They're big bundles of numbers all mixed together. In all truth, they only reflect a snapshot of a point in time. They're numbers that stocks happened to end on when trading stopped for the day (or, at least, paused until after hours trading took over).
While the note's warnings are ominous and contradict many other more rosy outlooks for the current bull market, the London-based fund was on point in calling February's market correction weeks before it happened. Filia told CNBC in late January that stock valuations were in "bitcoin territory," "totally disconnected from fundamentals," and that markets were on the "edge of chaos."
Preparation is key. The best time to react to any potential market crash is before it occurs. Not after. Reacting in the moment can lead to expensive and costly mistakes. For example, if you saw that socks were on sale, you'd be more interested in buying socks. However, when it comes to stocks, people take a different view. When stocks are on sale, as can occur in a market crash, then often investors' instincts are to run away. Thinking about your strategy ahead of time and writing it down, just in a couple of paragraphs, can be key. Then if the markets do crash, make sure to look at that document before you act.
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