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When we are looking for elevated implied volatility (IV), we are looking for IV that is above the mean volatility for the recent period Ideally we are looking for candidates that have an underlying that is likely to decelerate in volatility or at least not increase signi cantly based on news for the individual underlying asset We are looking for high implied volatility that has a respectable chance of staying within a certain trading range for a certain period of time or will begin to decrease over the term of the option Herein lies the problem with selling options Conventional market speculation and analysis have generated an elevated demand for the options in question for a particular reason; this is what has caused the high implied volatility Therefore, as the option seller you are the contrarian; you must go against the conventional analysis in order to sell a naked high volatility option If a call option has generated high implied volatility, you must determine why it has high volatility Are the call options in demand because the market is expected to go higher, or is there demand on the option because of hedge traders buying protection on their

RAC was the marquis feature of the Oracle 9 i release, so most readers will probably be familiar with the general capabilities of this feature But since RAC and grid are really the first big steps towards Exadata and the Exadata Database Machine, it s worthwhile to spend a few paragraphs reviewing the exact definition and architecture of RAC The official name of the feature does make sense When introduced, the defining characteristic of RAC was that it could be used transparently with existing, or real, applications There was no need to rewrite or refactor existing applications to take advantage of the benefits of RAC, a virtue that is common to most new Oracle features The second part of the name points to what made RAC different Normally, an Oracle database is only associated with a single instance a single running copy of the Oracle database software which was in turn

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associated with a single physical server An Oracle database with RAC could run across multiple instances and servers, as shown in Figure 2-4 You can see multiple servers, or nodes, which work together through the means of a layer of software called clusterware Clusterware acts to coordinate the operation of the member nodes as well as to monitor and maintain the health of these nodes Oracle has its own clusterware, which is bundled with Oracle Database Enterprise Edition You can also see that each node has an instance running and that all instances access the same shared storage This shared storage and the software portion of RAC means that a user can connect to any of the nodes in the cluster and access the same database transparently The resources of all the nodes in the cluster are combined into a single pool of resources The architecture of RAC introduced significant benefits in two key areas availability and scalability

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A single RAC database can include instances on more than one node, which has dramatic implications for the overall availability of an Oracle RAC database If any single node goes down, the failure has virtually no impact on any of the other nodes, which continue to operate as normal

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