Posts Tagged ‘trading’

The iPath S&P 500 VIX Futures

Written by admin. Posted in Technical Analysis

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The iPath S&P 500 VIX Short-Term Futures (VXX) is an exchange-traded note (ETN) designed to provide investors with exposure to equity market volatility. Shares of an ETN, which is structured as a debt instrument, can be bought and sold like shares of stock.

During times of high volatility in the stock market, the value of VXX shares will typically increase. On the other hand, quiet periods for the market will likely keep shares trending lower. Here’s why.

Understanding VXX

The iPath S&P 500 VIX Short-Term Futures ETN is legally structured as an exchange-traded note (ETN), which is similar in nature to an exchange-traded fund (ETF). The main difference between an ETF and an ETN is that, while the exchange-traded fund represents ownership in a basket of securities—stocks, bonds, or commodities—within the fund’s portfolio, the exchange-traded note is an uncollateralized debt instrument and has bond-like characteristics: investors can hold shares until maturity (which is Jan. 23, 2048, for the VXX ETN launched Jan. 19, 2018) and buy and sell before maturity.

Key Takeaways

  • The iPath S&P 500 VIX Short-Term Futures ETN is an investment security that provides exposure to the volatility of the U.S. stock market.
  • An ETN is like an ETF, but rather than holding a basket of stocks, bonds, or commodities, the exchange-traded note is a debt instrument with a maturity date.
  • VXX is designed to track the value of futures contracts on Cboe Volatility Index, which is a gauge of current volatility that is priced into S&P 500 index options.
  • VXX continuously rolls VIX futures contracts at each expiration, which can detract from performance.
  • VXX shares will typically increase in value when market volatility increases, but trend lower when volatility is muted.

Managed by Barclays Capital Incorporated, the iPath S&P 500 VIX Short-Term Futures ETN is linked to the daily price changes in Cboe Volatility Index, but in a complicated way. VIX is sometimes called the market’s “fear gauge” because it tends to rise during periods of market uncertainty and spike in times of panic. The index tracks changes in the expected volatility priced into S&P 500 Index options and is computed using an options-pricing formula.

Futures contracts are listed on Cboe Volatility Index, and VXX is an ETN that tracks the S&P 500 VIX Short-Term Futures Total Return Index, which is designed to offer exposure to long positions in Cboe Volatility Index futures contracts. Therefore, VXX does not track VIX itself (spot VIX), but the futures on VIX, which often trade at very different price levels depending on the time to maturity.

Risks

Since VXX must roll its futures contracts to rebalance the fund to the later contract, the fund manager is forced to sell the futures contracts that are closest to their expiration dates and buy the next dated contracts, which is a process called rolling. Since longer-dated futures contracts are often at higher levels than shorter-dated ones (during normal market conditions), the rolling activity can result in losses (as the ETN is forced to sell the lower-valued contracts and buy the higher-priced contracts).

In extreme market conditions, when volatility spikes, short-term VIX futures contracts can trade at higher levels compared to longer-term ones and the situation is called backwardation. More often, however, VIX futures are in contango and longer-term contracts trade at higher prices compared to short-term ones.

The iPath S&P 500 VIX Short-Term Futures ETN can be influenced by many unpredictable factors, and the price of VXX can fluctuate substantially between now and the maturity date. Influential factors include prevailing market prices of the U.S. stock market, S&P 500 Index options prices, supply and demand for VXX, as well as economic, political, regulatory or judicial events, or changes to interest rate policies. Basically, anything that affects stock prices can also affect volatility and VXX shares.

The Bottom Line

An investment in VXX might be suitable for investors who want to hedge their portfolios against a market downturn and speculators who have a high risk tolerance. However, since the iPath S&P 500 VIX Short-Term Futures ETN is only composed of derivative contracts, individuals should understand the Cboe Volatility Index and VIX futures before investing or trading the exchange-traded note.

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What Is T-Distribution in Probability? How Do You Use It?

Written by admin. Posted in Technical Analysis

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What Is a T-Distribution?

The t-distribution, also known as the Student’s t-distribution, is a type of probability distribution that is similar to the normal distribution with its bell shape but has heavier tails. It is used for estimating population parameters for small sample sizes or unknown variances. T-distributions have a greater chance for extreme values than normal distributions, and as a result have fatter tails.

The t-distribution is the basis for computing t-tests in statistics.

Key Takeaways

  • The t-distribution is a continuous probability distribution of the z-score when the estimated standard deviation is used in the denominator rather than the true standard deviation.
  • The t-distribution, like the normal distribution, is bell-shaped and symmetric, but it has heavier tails, which means that it tends to produce values that fall far from its mean.
  • T-tests are used in statistics to estimate significance.

What Does a T-Distribution Tell You? 

Tail heaviness is determined by a parameter of the t-distribution called degrees of freedom, with smaller values giving heavier tails, and with higher values making the t-distribution resemble a standard normal distribution with a mean of 0 and a standard deviation of 1.

Image by Sabrina Jiang © Investopedia 2020


When a sample of n observations is taken from a normally distributed population having mean M and standard deviation D, the sample mean, m, and the sample standard deviation, d, will differ from M and D because of the randomness of the sample.

A z-score can be calculated with the population standard deviation as Z = (x – M)/D, and this value has the normal distribution with mean 0 and standard deviation 1. But when using the estimated standard deviation, a t-score is calculated as T = (m – M)/{d/sqrt(n)}, and the difference between d and D makes the distribution a t-distribution with (n – 1) degrees of freedom rather than the normal distribution with mean 0 and standard deviation 1. 

Example of How to Use a T-Distribution

Take the following example for how t-distributions are put to use in statistical analysis. First, remember that a confidence interval for the mean is a range of values, calculated from the data, meant to capture a “population” mean. This interval is m +- t*d/sqrt(n), where t is a critical value from the t-distribution.

For instance, a 95% confidence interval for the mean return of the Dow Jones Industrial Average (DJIA) in the 27 trading days prior to Sept. 11, 2001, is -0.33%, (+/- 2.055) * 1.07 / sqrt(27), giving a (persistent) mean return as some number between -0.75% and +0.09%. The number 2.055, the amount of standard errors to adjust by, is found from the t-distribution.

Because the t-distribution has fatter tails than a normal distribution, it can be used as a model for financial returns that exhibit excess kurtosis, which will allow for a more realistic calculation of Value at Risk (VaR) in such cases.

T-Distribution vs. Normal Distribution 

Normal distributions are used when the population distribution is assumed to be normal. The t-distribution is similar to the normal distribution, just with fatter tails. Both assume a normally distributed population. T-distributions thus have higher kurtosis than normal distributions. The probability of getting values very far from the mean is larger with a t-distribution than a normal distribution.

Normal vs. t-distribution.

Limitations of Using a T-Distribution 

The t-distribution can skew exactness relative to the normal distribution. Its shortcoming only arises when there’s a need for perfect normality. The t-distribution should only be used when the population standard deviation is not known. If the population standard deviation is known and the sample size is large enough, the normal distribution should be used for better results.

What is the t-distribution in statistics?

The t-distribution is used in statistics to estimate the population parameters for small sample sizes or undetermined variances. It is also referred to as the Student’s t-distribution.

When should the t-distribution be used?

The t-distribution should be used if the population sample size is small and the standard deviation is unknown. If not, then the normal distribution should be used.

What does normal distribution mean?

The Bottom Line

The t-distribution is used in statistics to estimate the significance of population parameters for small sample sizes or unknown variations. Like the normal distribution, it is bell-shaped and symmetric. Unlike normal distributions, it has heavier tails, which result in a greater chance for extreme values.

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What Technical Tools Can I Use to Measure Momentum?

Written by admin. Posted in Technical Analysis

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One of the main goals of every trader using technical analysis is to measure the strength of an asset’s momentum and the likelihood that it will continue. Momentum measures the speed at which the price of a security is moving, and there are a variety of indicators one can look at to measure this.

Most of the indicators used to measure momentum are interpreted by using certain values that suggest the asset may be getting overbought or oversold, which is a weakening of momentum, and would signal a reversal in the trend.

Momentum indicators are bound between two extreme levels. This is important because a cross through the center line of the indicator is interpreted to mean that momentum is either increasing or decreasing and that acts as an indicator to buy or sell.

Some of the main tools to measure momentum are the moving average convergence divergence (MACD), stochastics oscillator, price rate of change (ROC), and the relative strength index (RSI).

Moving Average Convergence Divergence (MACD)

The MACD depicts the relationship between two moving averages of a security’s price. It is calculated by subtracting the 26-period exponential moving average from the 12-period exponential moving average. When this is calculated, a MACD line is created and a nine-period MACD line, known as the “signal line,” is transposed over the MACD line. This then functions as a trigger to buy or sell depending on where the MACD crosses the signal line.

Rate of Change

The rate of change is the speed at which a variable changes over a specific period of time. It is expressed as a ratio between a change in one variable relative to a corresponding change in another. Graphically, the rate of change is represented by the slope of a line and mathematically as the percentage change in value over a specific period of time and represents the momentum of a variable.

To calculate the ROC, one takes the current value of a stock and divides it by the value from a previous period, then subtracts one and multiplies by 100 for the percentage figure.

Rate of Change = [(Current Value of Stock/Previous Value of Stock) – 1]*100

A security with a high momentum has a positive ROC and outperforms the market in the short term whereas a low momentum security has a negative ROC and is likely to decline in value, which can be seen as an indicator to sell.

Stochastic Oscillator

The stochastic oscillator seeks to measure the closing price of a security to a range of its historical prices over a defined period of time. It is used to generate overbought and oversold trading signals using a 0–100 bounded range of values. Values over 80 are considered to be in the overbought range and values below 20 are considered to be in the oversold range. When values reach these points, they typically indicate a reversal of the trend.

Relative Strength Index (RSI)

The RSI measures the magnitude of recent price changes. The RSI looks at average gains or losses over 14 trading periods. Much like the stochastic oscillator, it uses a bounded range value of 0 to 100 to mark overbought or oversold conditions in the price of an asset. Values that are 70 or above indicate an overbought security, whereas values of 30 and below indicate an oversold condition.

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Daily Analysis 20230216

Written by itho suryoputro. Posted in Daily Analysis

February 16th, 2023

Good morning,

Stocks close slightly higher, Nasdaq notches 3-day win streak as investors weigh retail sales and inflation data

Stocks ticked higher Wednesday as traders mulled what strong retail sales along with the latest U.S. inflation data mean for the Federal Reserve’s interest rate hiking campaign.

Dow…….34129 +38.8 +0.11%
Nasdaq.12071 +110.5 +0.92%
*@S&P 500..4148 +11.5 +0.28%

FTSE…….7998 +43.98 +0.55%
Dax……..15506 +125.8 +0.82%
CAC……..7301 +87.1 +1.21%

Nikkei…..27502 -100.9 -0.37%
HSI………20812 -301.6 -1.43%
Shanghai..3280 -12.8 -0.39%

IDX…..6914.54 -27.32 -0.39%
LQ45….957.64 -2.67 -0.28%
IDX30…497.86 -1.46. -0.29%

IDXEnergy…2109.61 -2.13 -0.10%
IDX BscMat 1262.25 -6.02 -0.47%
IDX Indstrl…1158.36 -4.31 -0.37%
IDXNONCYC..759.46 +0.67 +0.09%
IDX Hlthcare1617.13 +4.82 +0.30%
IDXCYCLIC…845.08 -1.58 -0.19%
IDX Techno5528.40 -72.11 -1.29%
IDX Transp1831.57 -23.15 -1.25%
IDX Infrast….859.10 -1.29 -0.15 %
IDX Finance1426.36 -9.74 -0.68%
IDX Banking1165.33 -10.61-0.90%
IDX Property….697 -6.40 -0.91%

Indo10Yr.6.7774+0.0081 +0.12%
ICBI..350.4552 -0.1658 -0.05%
US10Yr.3.8090 +0.0480 +1.28%
VIX……18.23 -0.68 -3.60%👍

USDIndx103.8220+0.5530+0.54%
Como Indx.270.38 -3.18 -1.16%
(Core Commodity CRB)
BCOMIN…..161.85 -2.49 -1.52%

IndoCDS..105.25 – -%
(5-yr INOCD5) (07/11)

IDR…..15206.50 +39.50 +0.26%
Jisdor.15194.00 +26.00 +0.17%

Euro……1.0690 -0.0045 -0.42%

TLKM….24.96 -0.43 -1.69%
(3792)
EIDO……23.40 -0.11 -0.47%
EEM……40.11 -0.34 -0.84%

Oil……..78.59 -0.47 -0.59%
Gold 1845.30 -20.10 -1.08%
Timah 26817 -711.00 -2.58%
(Closed 02/14)
Nickel.26026.50 -461.00 -1.74%
(Closed 02/15)
Silver…….21.63 +0.05 +0.25%
Copper..402.55 +1.50 +0.37%

Nturl Gas.2.466 -0.135 -5.19%‼️

Ammonia4406.67 unch +0%
China
(Domestic Price)(02/14)

Coal price.219.90 +0.40 +0.18%
(Feb/Newcastle)
Coal price196.00 +1.50 +0.77%
(Mar/Newcastle)
Coal price 195.40 +2.50 +1.30%
(Apr/Newcastle)
Coal price 197.10 +3.00. +1.55%
(Mei/Newcastle)

Coal price.136.50 +2.50 +1.83%
(Feb/Rotterdam)
Coal price 142.00+10.25 +7.78%‼️
(Mar/ Rotterdam)
Coal price140.00 +9.25 +7.07%‼️
(Apr/Rotterdam)
Coal price139.00 +8.25 +6.31%
(May/Rotterdam)

CPO(Apr)….3935 -20 -0.50%
(Source: bursamalaysia.com)

Corn………..674.00 -5.75 -0.85%
SoybeanOil..61.44 +0.91 +1.50%
Wheat…….780.25 -16.50 -2.07%

Wood pulp…6050.00 -10 -0.17%
(Closed 02/15)

©️Phintraco Sekuritas
Broker Code: AT
Desy Erawati/ DE
Source: Bloomberg, Investing, IBPA, CNBC, Bursa Malaysia
Copyright: Phintraco Sekuritas

US europe ijo, asia yang kemaren masih pada merah, semoga hari ini ikutan ijo lagi

Oil merah, gas merah, coal gantian ijo, semoga lanjut dorong ADRO naik tinggi selain issue buyback. Metal2 masih merah kecuali silver copper, kemaren MDKA udah mulai jalan, jangan dulu entry tapi, sabar tunggu firm reversal, CPO merah lagi

IHSG – stoch balik sell, macd sw,last day NFS, MFI down, BD acc, alligator up, ST up, minor correction udah kena fibo 38 terus mantul, harusnya test resistance 6961, candle terakhir low lower shadow, bullish candle tanda perlawanan market ga mau dibawa turun, semoga ijo ikut US

Tinggal Healthcare, Infrastructure melemah, financials belum keliatan jalan padahal bank bank mulai gerak, BRIS gila 15% kemaren

Stochastic Buy Signal: AKRA AMRT

MACD Buy Signal: AKRA BRIS BRPT AGRO BSSR

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