What is your risk level (part 3) update

There are different types of winning …. and losing

              Let us start with a quick review of how we perceive risk from part 1 and expand on the concept. Risk can be related to volatility. High risk can imply great or high volatility in relation to expected outcomes or solutions. Suppose a desired outcome is winning exactly $5,000, what is the likelihood of getting our desired outcome if the possible range of outcomes could be from $10,000 to -$10,000 with an equal chance of any integer on a single draw. Low risk suggests predictability or stability in the expected outcomes or solutions i.e. if our desired outcome is 1, what is the likelihood of drawing 1 (on a single draw) if the values available are between 2 and 0. In our first example, if we need to get $5,000 we will be very disappointed because the risk is so great that we will not get $5,000 (the odds are 1 in 20,000). However our upside potential (risk of getting equal to or more than $5,000) is much better. Our odds have improved to 5,000 in 20,000 or 1 in 4. We may be disappointed with the selection but not unhappy with the outcome.

             Risk can also relate to a specific outcome and the probability of that outcome. Assume option 1 has a 25% probability (1 in 4 chance) of making $1,000 and a 75% probability (3 in 4 chance) of making $0. Assume it costs $250 to participate. Remember, in business, finance and especially in investing there is always a cost to participate, if someone tells you there is no cost keep looking until you find it (I will get off my soapbox now). Option 2 has the same cost to participate but the probabilities are reversed. Now it is a 75% probability of making $1,000 and only 25% probability of making $0. Option 1 is substantially more risky than option 2. The risk is not in earning an amount different than the desired outcome ($1,000) but the likelihood of realizing or getting the desired outcome.

             Many business risks deal with a range of possible outcomes from very successful to significant lose. However, the payout or benefit of a successful outcome may be so great that the risk may be considered acceptable. Conversely, the cost of failure may be relatively small so that any lose is not particularly damaging. A business may be able to sustain a number of relatively small losses if the occasional success is great enough. In that case a risky venture, meaning a venture with significant volatility, may be not only acceptable but quite profitable. If one is accurate in predicting the probability (likelihood) of the possible outcomes then the risk of the unknown happening is greatly reduced. If one is uncertain of the possible outcomes then the exposure to risk can become enormous.

             We generally see that in order to generate the maximum possible wealth a certain amount of risk is usually involved. The very definition of increased risk as we discussed earlier, that results vary significantly from expected outcomes, suggests that there is likely a large element of the unknown or even unknowable in such situations. By 1985 Steve Jobs was cofounder, chairman and CEO of  Apple Inc. However in that year he was booted from the company. Many at the time may have thought that Jobs was done or finished. But by 1997 he was de facto chief of Apple Inc. again. In between 1985 and 1997 he had started another firm, NeXT, and acquired the computer graphics division of Lucasfilm which he spun off as Pixar. After returning to Apple in 1996 he is credited with helping engineer the turnaround of Apple and creating new products and innovations that made it the most valuable publicly traded company in 2011. Jobs must have been exposed to an innumerable number of risks. Many of them were likely negative but several were positive or upside risks.

          Next we will look at government and risk perception and some final thoughts.