any takers ..?
for $1B sales ... someone paid $28B and call themselves as smart ..!
this is how valuations are done in tech world .. $1 one day $0.50 the next.
it was all about cheap money which is no longer available ..!
any takers ..?
for $1B sales ... someone paid $28B and call themselves as smart ..!
this is how valuations are done in tech world .. $1 one day $0.50 the next.
it was all about cheap money which is no longer available ..!
something I learned from watching Nashville - a fantastic serial to study human behavior, especially women behavior ..!
Durable goods, GDP & IJC all came good; so folks are avoiding using the R word ..!
people thought it can't be stolen; hack-able [due to blockchain technology], doesn't lose value, untouchable by Govt. etc. etc.
what all the currencies have in common is dealing w/ humans .. or human behavior to be precise ..!
Open AI and Chat GPT being talk of the town and with fantastic reviews all around, i decided to put it to test to see what does Chat GPT has to say on my work; really i was scared to type my questions below as to what if this tool already knows the solution that i am working on for last 10 years, and to my satisfaction and joy, it only knows what everyone else does .. so my work is still sacred ..!
Thank God!!!
Prospect theory: A model that describes how people make decisions under uncertainty, and how their preferences for gains and losses are affected by the way the options are framed.
Heuristics and biases: A model that describes how people use simple rules of thumb, or heuristics, to make decisions quickly and efficiently, but that these heuristics can lead to systematic errors or biases in judgment.
Mental accounting: A model that describes how people categorize and evaluate financial outcomes based on their source, rather than their absolute value.
Behavioral asset pricing models: A model that describes how investors' irrational behavior can affect stock prices and returns, such as overreaction, under reaction and momentum.
Neuro - finance: A model that uses neuro -imaging techniques to study the neural processes underlying financial decision making
Overall Behavioral finance uses a combination of mathematical models and empirical studies to understand the psychological and emotional factors that influence financial decisions, to provide a more comprehensive understanding of how markets operate.
Behavioral finance argues that investors' irrational behavior can lead to predictable patterns in market prices, such as overreaction to news events or momentum in stock prices. However, it's important to note that even if certain patterns or anomalies can be identified, it does not necessarily mean that they can be consistently exploited to generate abnormal returns. The financial markets are complex systems with many participants and factors influencing prices, making it difficult to predict future market movements with high accuracy and reliability.
In summary, while some patterns or anomalies may exist in financial markets, it is unlikely that they can be consistently used to predict future prices or returns with high accuracy.
VIP: do humans have predictive powers?
chat GPT: Humans have the ability to make predictions based on patterns and information they have learned from past experiences. However, the accuracy of these predictions can vary depending on the complexity of the situation and the amount and quality of information available. Humans are prone to cognitive biases that can affect their ability to make accurate predictions. These biases include overconfidence, confirmation bias, and the availability heuristic, among others.
In the field of finance, professional investors and analysts often use complex mathematical models and vast amounts of data to make predictions about future market movements. However, even with this information, it is still difficult to make accurate predictions about the financial markets due to the complexity and uncertainty of the system.
In summary, humans have the ability to make predictions, but the accuracy of these predictions can be affected by cognitive biases and the complexity of the situation. In finance, accurate predictions are challenging due to the complexity and uncertainty of the financial markets.