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Financial Instability Hypothesis and Financial Instability Hypothesis: The Minsky Moment, Financial Instability and the Financial Instability Hypothesis



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Hyman Minsky's financial instability hypothesis was a major part of the financial crisis of 2008. But, what are his theories and how did they affect the current global economic crisis? In this article, we'll look at the Minsky moment, Financial instability, and the Financial instability hypothesis. The implications of the theory for the global economic system will be addressed. After reading this article you will be better equipped to talk with financial advisers about the financial future.

Hyman Minsky

American economist Hyman Minsky lived from 1919 to 1996. He was an assistant at Alvin Hansen's Harvard University and University of Chicago, where he studied economics. Minsky was a Harvard professor during his time. He taught at Brown, Carnegie-Mellon and Berekely. He was offered a job at Washington University in 1965. Hyman Minsky's theory of financial instability, which he published in his book Stabilizing an unstable Economy, is his most famous work.


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Financial instability hypothesis

Financial instability hypothesis is a theory that says that if extreme price fluctuations were eliminated, there would be higher growth and less unemployment. Minsky argues that some aspects of the capitalist system can cause extreme price fluctuations. Among other things, he argues that the periodic need to bail out ailing financial institutions causes inflation. Furthermore, he argues that there is no magical solution to financial instability.

Minsky moment

Minsky moment refers to a sudden and significant fall in asset prices, often marking the end a boom. The period of bullish speculation is correlated with the severity of the crisis. Many will cry for a "new start," while others will hail the end of the current economic cycle. In either case, the key question is how we can avoid a Minsky moment.


2008 Financial Crisis

Hyman Minsky was a Harvard economist. He has taught at Harvard, Berkeley University, and Washington University. He is the former director of the Mark Twain Bank in St. Louis. Minsky developed a model of the credit cycle, which consists of five stages: euphoria, profit taking, panic, and displacement. These stages are triggered abruptly by changes in economic policies.

Economic theory behind Minsky moment

The pivotal turning point during the 2008 subprime mortgage crisis was the Minsky moment. Easy access to credit led to household debt accumulation, and asset prices rose. This unsustainable bullish speculation sustained America's economy for a long while but eventually led the country to its demise. Housing prices began a downhill slope in mid-2006 and were subsequently wiped out by the Great Recession in 2008.


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Global economy: Minsky cycle's impact

Minsky Cycle is a theoretical model which captures changes to financing arrangements that can result in increased risk-taking. Hedge financing is the first phase. This occurs when the expected revenues are sufficient to repay the principal amount. The second phase is known as speculative finance, where the lenders are using the proceeds from their capital gains to satisfy their debt obligations.


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FAQ

How does AI function?

An artificial neural networks is made up many simple processors called neuron. Each neuron receives inputs from other neurons and processes them using mathematical operations.

Neurons can be arranged in layers. Each layer performs an entirely different function. The first layer gets raw data such as images, sounds, etc. It then passes this data on to the second layer, which continues processing them. Finally, the last layer produces an output.

Each neuron has an associated weighting value. This value is multiplied with new inputs and added to the total weighted sum of all prior values. If the number is greater than zero then the neuron activates. It sends a signal up the line, telling the next Neuron what to do.

This continues until the network's end, when the final results are achieved.


How does AI work

Basic computing principles are necessary to understand how AI works.

Computers store information in memory. Computers work with code programs to process the information. The code tells the computer what to do next.

An algorithm is an instruction set that tells the computer what to do in order to complete a task. These algorithms are usually written in code.

An algorithm could be described as a recipe. A recipe may contain steps and ingredients. Each step can be considered a separate instruction. One instruction may say "Add water to the pot", while another might say "Heat the pot until it boils."


AI: Why do we use it?

Artificial intelligence is an area of computer science that deals with the simulation of intelligent behavior for practical applications such as robotics, natural language processing, game playing, etc.

AI is also called machine learning. Machine learning is the study on how machines learn from their environment without any explicitly programmed rules.

Two main reasons AI is used are:

  1. To make our lives simpler.
  2. To do things better than we could ever do ourselves.

Self-driving automobiles are an excellent example. AI can replace the need for a driver.


What is the latest AI invention?

The latest AI invention is called "Deep Learning." Deep learning (a type of machine-learning) is an artificial intelligence technique that uses neural network to perform tasks such image recognition, speech recognition, translation and natural language processing. Google invented it in 2012.

The most recent example of deep learning was when Google used it to create a computer program capable of writing its own code. This was accomplished using a neural network named "Google Brain," which was trained with a lot of data from YouTube videos.

This enabled it to learn how programs could be written for itself.

IBM announced in 2015 the creation of a computer program which could create music. Music creation is also performed using neural networks. These are known as "neural networks for music" or NN-FM.


Is Alexa an AI?

Yes. But not quite yet.

Alexa is a cloud-based voice service developed by Amazon. It allows users to interact with devices using their voice.

First, the Echo smart speaker released Alexa technology. Other companies have since created their own versions with similar technology.

Some examples include Google Home (Apple's Siri), and Microsoft's Cortana.



Statistics

  • The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
  • While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
  • In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
  • A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
  • In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)



External Links

mckinsey.com


hadoop.apache.org


en.wikipedia.org


forbes.com




How To

How to set Amazon Echo Dot up

Amazon Echo Dot (small device) connects with your Wi-Fi network. You can use voice commands to control smart devices such as fans, thermostats, lights, and thermostats. You can use "Alexa" for music, weather, sports scores and more. You can ask questions and send messages, make calls and send messages. Bluetooth headphones and Bluetooth speakers (sold separately) can be used to connect the device, so music can be heard throughout the house.

An HDMI cable or wireless adapter can be used to connect your Alexa-enabled TV to your Alexa device. One wireless adapter is required for each TV to allow you to use your Echo Dot on multiple TVs. You can pair multiple Echos simultaneously, so they work together even when they aren't physically next to each other.

These are the steps you need to follow in order to set-up your Echo Dot.

  1. Turn off your Echo Dot.
  2. The Echo Dot's Ethernet port allows you to connect it to your Wi Fi router. Turn off the power switch.
  3. Open the Alexa app on your phone or tablet.
  4. Select Echo Dot in the list.
  5. Select Add New Device.
  6. Select Echo Dot from among the options that appear in the drop-down menu.
  7. Follow the screen instructions.
  8. When asked, type your name to add to your Echo Dot.
  9. Tap Allow Access.
  10. Wait until your Echo Dot is successfully connected to Wi-Fi.
  11. You can do this for all Echo Dots.
  12. You can enjoy hands-free convenience




 



Financial Instability Hypothesis and Financial Instability Hypothesis: The Minsky Moment, Financial Instability and the Financial Instability Hypothesis