What does the -V indicate on MKC ticker
MKC is non-voting stock, MKC/V is voting stock. Ofter times you'll see two or more stock symbols for a company.  These usually reflect different classes of stocks.  For example, voting vs. non-voting (as in this case) or preferred vs non-preferred stock.
"Sovereign immunity is the state's ultimate ""get out of bankruptcy free"" card.  After all, the state has a hand in defining what bankruptcy even is in their state.  Federal law is a framework, states customize it from there.   The state's simplest tactic is to simply not pay you.  And leave you scrambling to the courthouse for redress. Is that an automatic win?  Not really, the State can plead sovereign immunity, e.g. Hans v. Louisiana, Alden v. Maine.     You could try to pierce that sovereign immunity, essentially you'd be in Federal court trying to force the state into bankruptcy.  This would pit State authority against Federal authority.  The Feds are just as likely to come in on the state's side, and you lose.  Best scenario, it's a knock-down drag-out all the way to the Supreme Court.  You would have to be one heck of a creditor for the legal fees to be worth your trouble.  States don't make a habit of this because if they did, no one would lend money to them, and this would be rather bad for the economy all around.  So business and government work really hard to avert it.  But it always stands as their ""nuclear option"".  And you gotta know that when loaning money to States." "bootstrapped? When did ""bootstrap"" become a fucking verb?  Her entire blog reads like a bad Amway pitch from the 90s and gives absolutely no indication of what she actually does, just some vague bragging about how much her (projected) gross income is." "Answering this question is weird, because it is not really precise in what you mean. Do you want all stocks in the US? Do you want a selection of stocks according to parameters?  Do you just want a cool looking graph? However, your possible misuse of the word derivative piqued my interest. Your reference to  gold and silver seems to indicate that you do not know what a derivative actually is. Or what it would do in a portfolio.  The straightforward way to ""see"" an efficient frontier is to do the following. For a set of stocks (in this case six ""randomly"" selected ones):      library(quantmod)  library(fPortfolio)  library(PerformanceAnalytics)     getSymbols(c(""STZ"", ""RAI"", ""AMZN"", ""MSFT"", ""TWX"", ""RHT""), from = ""2012-06-01"", to = ""2017-06-01"")     returns &lt;- NULL  tickerlist &lt;- c(""STZ"", ""RAI"", ""AMZN"", ""MSFT"", ""TWX"", ""RHT"")  for (ticker in tickerlist){   returns &lt;- cbind(returns, monthlyReturn(Ad(eval(as.symbol(ticker)))))  }  colnames(returns) &lt;- tickerlist  returns &lt;- as.timeSeries(returns)    frontier &lt;- portfolioFrontier(returns)  png(""frontier.png"", width = 800, height = 600)  plot(frontier, which = ""all"")  dev.off()    minvariancePortfolio(returns, constraints = ""LongOnly"")    Portfolio Weights:    STZ    RAI   AMZN   MSFT    TWX    RHT   0.1140 0.3912 0.0000 0.1421 0.1476 0.2051     Covariance Risk Budgets:    STZ    RAI   AMZN   MSFT    TWX    RHT   0.1140 0.3912 0.0000 0.1421 0.1476 0.2051     Target Returns and Risks:   mean    Cov   CVaR    VaR   0.0232 0.0354 0.0455 0.0360    https://imgur.com/QIxDdEI  The minimum variance portfolio of these six assets has a mean return is 0.0232 and variance is 0.0360. AMZN does not get any weight in the portfolio.  It kind of means that the other assets span it and it does not provide any additional diversification benefit.   Let us add two ETFs that track gold and silver to the mix, and see how little difference it makes:    getSymbols(c(""GLD"", ""SLV""), from = ""2012-06-01"", to = ""2017-06-01"")    returns &lt;- NULL  tickerlist &lt;- c(""STZ"", ""RAI"", ""AMZN"", ""MSFT"", ""TWX"", ""RHT"", ""GLD"", ""SLV"")  for (ticker in tickerlist){   returns &lt;- cbind(returns, monthlyReturn(Ad(eval(as.symbol(ticker)))))  }  colnames(returns) &lt;- tickerlist  returns &lt;- as.timeSeries(returns)   frontier &lt;- portfolioFrontier(returns)    png(""weights.png"", width = 800, height = 600)  weightsPlot(frontier)  dev.off()    # Optimal weights  out &lt;- minvariancePortfolio(returns, constraints = ""LongOnly"")  wghts &lt;- getWeights(out)  portret1 &lt;- returns%*%wghts  portret1 &lt;- cbind(monthprc, portret1)[,3]  colnames(portret1) &lt;- ""Optimal portfolio""    # Equal weights  wghts &lt;- rep(1/8, 8)  portret2 &lt;- returns%*%wghts  portret2 &lt;- cbind(monthprc, portret2)[,3]  colnames(portret2) &lt;- ""Equal weights portfolio""   png(""performance_both.png"", width = 800, height = 600)  par(mfrow=c(2,2))  chart.CumReturns(portret1, ylim = c(0, 2))  chart.CumReturns(portret2, ylim = c(0, 2))  chart.Drawdown(portret1, main = ""Drawdown"", ylim = c(-0.06, 0))  chart.Drawdown(portret2, main = ""Drawdown"", ylim = c(-0.06, 0))  dev.off()   https://imgur.com/sBHGz7s   Adding gold changes the minimum variance mean return to 0.0116 and the variance stays about the same 0.0332. You can see how the weights change at different return and variance profiles in the picture.  The takeaway is that adding gold decreases the return but does not do a lot for the risk of the portfolio.  You also notice that silver does not get included in the minimum variance efficient portfolio (and neither does AMZN).  https://imgur.com/rXPbXau  We can also compare the optimal weights to an equally weighted portfolio and see that the latter would have performed better but had much  larger drawdowns. Which is because it has a higher volatility, which might be undesirable.  ---  Everything below here is false, but illustrative.  So what about the derivative part? Let us assume you bought an out of the money call option with a strike of 50 on MSFT at the beginning of the  time series and held it to the end.  We need to decide on the the annualized cost-of-carry rate, the annualized rate of interest, the time to maturity is measured in years, the annualized  volatility of the underlying security is proxied by the historical volatility.   library(fOptions)   monthprc &lt;- Ad(MSFT)[endpoints(MSFT, ""months"")]  T &lt;- length(monthprc) # 60 months, 5 years  vol &lt;- sd(returns$MSFT)*sqrt(12) # annualized volatility    optprc &lt;- matrix(NA, 60, 1)  for (t in 1:60) {   s &lt;- as.numeric(monthprc[t])   optval &lt;- GBSOption(TypeFlag = ""c"", S = s, X = 50, Time = (T - t) / 12, r = 0.001, b = 0.001, sigma = vol)   optprc[t] &lt;- optval@price  }    monthprc &lt;- cbind(monthprc, optprc)  colnames(monthprc) &lt;- c(""MSFT"", ""MSFTCall50"")    MSFTCall50rets &lt;- monthlyReturn(monthprc[,2])  colnames(MSFTCall50rets) &lt;- ""MSFTCall50rets""    returns &lt;- merge(returns, MSFTCall50rets)    wghts &lt;- rep(1/9, 9)    portret3 &lt;- returns%*%wghts  portret3 &lt;- cbind(monthprc, portret3)[,3]  colnames(portret3) &lt;- ""Equal weights derivative portfolio""    png(""performance_deriv.png"", width = 800, height = 600)  par(mfrow=c(2,2))  chart.CumReturns(portret2, ylim = c(0, 4.5))  chart.CumReturns(portret3, ylim = c(0, 4.5))  chart.Drawdown(portret2, main = ""Drawdown"", ylim = c(-0.09, 0))  chart.Drawdown(portret3, main = ""Drawdown"", ylim = c(-0.09, 0))  dev.off()  https://imgur.com/SZ1xrYx   Even though we have a massively profitable instrument in the derivative. The portfolio analysis does not include it  because of the high volatility. However, if we just use equal weighting and essentially take a massive position in  the out of the money call (which would not be possible in real life), we get huge drawdowns and volatility, but  the returns are almost two fold. But nobody will sell you a five year call.  Others can correct any mistakes or misunderstandings in the above. It hopefully gives a starting point.  Read more at:   https://en.wikipedia.org/wiki/Modern_portfolio_theory https://en.wikipedia.org/wiki/Option_(finance)  The imgur album:  https://imgur.com/a/LoBEY" "The ex indicator is meant to be a help for market participants.  On the ex-day orders will go into a different order book, the ex order book, which at the start of the ex day will be totally empty, i.e. no orders from the non-ex day book have been copied over. Why does this help?  Well imagine you had a long-standing buy order in the book, well below the current price, and now the share price halves due to a 2-for-1 split, would you want to see your order executed? If so, your order should have gone into the ex-book which is only active on the ex-day (and orders in the ex book are usually copied over to the normal book on the day after the ex-day but this is exchange-specific). Think of it as an additional safety net to tell the exchange: ""I know what I'm doing: I want to buy this stock totally overpriced after the 2-for-1 split"". Now some exchanges and/or some securities (mostly derivatives) linked with the security in question don't have this notion of ex or the ex-book, and they will tell you by ""will not be quoted ex"" or ""the ex indicator is missing"". In your case (SNE) it is a sponsored ADR, the ex-date was Mar 28 2016, one day before the ex date of the Japanese original.  According to my understanding of NYSE rules, there is no specific rule for or against omitting the ex-indicator.  It seems to be a decision on a case by case basis.  Looking through the dividends of other Japanese ADRs I drew the conclusion none of them have an ex-book and so all of them are announced as: ""Will not be quoted ex by the exchange"".  Again, this is based on my observations." The values of 12, 26 and 9 are the typical industry standard setting used with the MACD, however other values can be substituted depending on your trading style and goals. The 26d EMA is considered the long moving average when in this case it is compared to the shorter 12d EMA. If you used a 5d EMA and a 10d EMA then the 10d EMA would be considered the long MA. It is based on what you are comparing it with. Apart from providing signals for a reversal in trend, MACD can also be used as an early indication to a possible end to a trend. What you look out for is divergence between the price and the MACD. See chart below of an example:  Here I have used 10d & 3d EMAs and 1 for the signal (as I did not want the signal to show up). I am simply using the MACD as a momentum indicator - which work by providing higher highs in the MACD with higher highs in price. This shows that the momentum in the trend is good so the trend should continue. However the last high in price is not met with a higher high in the MACD. The green lines demonstrate bearish divergence between price and the MACD, which is an indication that the momentum of the trend is slowing down. This could provide forewarning that the trend may be about to end and to take caution - i.e. not a good time to be buying this stock or if you already own it you may want to tighten up your stop loss. The answer is that the trader is hoping to profit from a potential rise in Implied volatility. He is isolating his exposure to IV only and mitigating his risk to the directional move of the underlying by hedging with the underlying. Basically, his delta is neutral. His gamma is positive and a potential source of profit, and his theta is negative which is a potential source of loss. He hopes that the profits from long gamma will overcome the loss from the short theta. he achieves this by actively gamma scalping to remain delta neutral over the life of the option. The answer is actually very simple: the cost of data. Seriously. Call the CBOE tomorrow and ask yourself. They have two big programs:  1) the penny pilot program, where options trade at penny increments instead of 5 cent increments. This is only extended to a select few symbols because of the amount of data this can generate is too much for the data vendors. Data vendors store and sell historical data. The exchanges themselves often have a big data vending business too. 2) the weekly options program, where only select symbols get these chains because of the amount of data they will generate. Liquidity and demand are factors in determining if the CBOE will consider enabling those series on new issues. (although they have to give the list of which symbols are on these programs to the SEC) I found the answer. It was the Stock Ticker that I was looking for. So, if I understand correctly the price at certain moment is the price of the latest sale and can be used to get a global picture of what certain stock is worth at that certain instant.