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So, how to navigate in this space? After all, trying to catch the best-performing projects is a difficult and risky task, since it’s very hard to predict success. This knowledge is worth billions, which is why you probably don’t get them even on the most popular YouTube channels available.
Although the future is a range of possibilities, we don’t have the data to form a probability distribution. Therefore, we don't know what might happen. However, the sign of good investors is that they don't forecast the future, rather they possess an above-average understanding of the future tendencies.
Also, we cannot control the returns that the market provides us, but we can always control the risks that we are willing to accept. The risks can be reduced by limiting available projects to invest in. Although, this may prevent us from ending with scam tokens. Unfortunately, it will also limit us from getting exposure to hyped fast-growing projects like Shiba Inu.
It’s always a trade-off, so the first step in our framework is Understanding Risk – The balance between losing money and opportunism (gains).
Risk isn’t equal to Uncertainty – A lack of complete certainty, which defines the existence of more than one possibility. The “true” outcome, state, result, and value is not known.
Measurement of uncertainty – Includes a set of probabilities that are offered to a set of possibilities. For example, “There is a 60 percent chance it will be a successful project and a 40 percent chance it won't.”
Risk – It's a state of uncertainty where there are possibilities involving an injury, loss, catastrophe, or many other undesirable outcomes (i.e., anything bad may happen).
Measurement of risk – A set of possibilities each with quantified probabilities and quantified losses. For example, “We believe there is a 40 percent chance the recommended project will be a scam with a loss of $12 million in initial investment.”
The main difference between risk and uncertainty is that risk is measurable while uncertainty is not measurable or predictable. This is the reason why we focus on risk. Let’s check its impacts.
In our consideration, we will mostly focus on qualitative measures. What is our ability to take the risk?
Investment horizon – Crypto is changing rapidly, so it’s hard to calculate the value of a portfolio at a specific point of time in the future. What is your expected time horizon?
Stability of earned income – How diversified our outside world is apart from crypto? Do we have another stable source of income or uncorrelated investment with cryptocurrency?
Need for liquidity – How liquidated your investment should be, to cover your unexpected expenditures? By liquidity, we mean how easily can we convert this to cash. It shouldn’t be a problem for crypto projects with high capitalization. It is much more important for .
Options that can be exercised (“Plan B.”) – What will happen in a worst-case scenario? How does losing all your money impact your life? If you’ve just started, invest only money that you can lose.
Depending on the given answers, we can estimate our Risk Appetite. After all, investment is tightly coupled with this, so we also have to find a way to manage it.
Risk management is the process of identification, analysis, and prioritization of risks followed by coordinated and economical application of resources to reduce, monitor, and control the probability and/or impact of unfortunate events.
Risk can be avoided, managed (mitigated), ignored and transferred (insured).
Avoid – Risks with a high likelihood of consequences must be avoided. After all, risk cannot adequately be managed or insured for a reasonable price. This is “scam” territory but it can also apply more broadly. Example: meme coins.
Manage – High likelihood items with low consequences form part of day-to-day risk management, which helps you take responsibility for or pay someone to manage on your behalf. Example: price volatility.
Ignore – Items having low likelihood and low consequences are mostly not worthy enough to worry about. The time and cost of management are probably not worth the effort so it is perfectly reasonable to ignore them. Example: architecture risk in mature .
Insure – This category involves items with low likelihood and high consequences, where you should ensure the possibility to improve your risk-adjusted return. At the very least, you should understand all the scenarios with high consequences and what might cause them. Example: smart contract risk.
Risk Identification
Risk Analysis
Risk Prioritization
Risk Management