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Four Perfect Bodies: Animals, Plants, Metals and Stones
January 2, 2017
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There are four perfect bodies on earth that are made of four elements: air water fire and earth all elements are mixed in all the above mentioned things but its secret a few people know on earth all over the world as the readers must know that all the stones are earthly and naturally heavy and dry due to earth element. While on the other hand, all types of metals are waterish and may be melted at any time as the chemists do this job wonderfully with the help of herbs’ juice.

Fire melts stone and metals and it is done due to different kinds of degrees of elements. You may easily recognize earthly stone will be dark and heavy but waterish stones will be crystal and transparent but pearls in the shell, crystal and Beryl are airy light weight and shining and all swim upon the water and absorb water due to waterish nature.

Pumice stone and Sophus are fiery stones because fire shined in the stones besides Asbestus stone is also a fiery stone. Lead and silver both are earthly metals, quicksilver or Mercury is waterish element, copper and tin both are airy metals, but gold and iron both are fiery metals but this is known to a few persons on earth because people do not ruminate over it.

The root of the plants are earth because they become thick but leave are waterish because it absorb water, but flowers are airy because they become light weight and dance in the air, seeds are fiery because it is the spirit of flourishing in the underground earth and underground earth is fire and nothings else.

There are some animal who live in the bowel of earth as worms and, also, vermin while fishes are watery because they cannot live without water. There are some other creatures that are fiery as Salamanders and crickets, pigeons because they are heat pure heat.

As the readers must know that animals’ bones are fiery, flesh is airy, and vital spirit is fiery. Human soul is fire and nothing else because it creates heat in human body 24 hours. Human imagination is water, human sense is earth, and human sight is fiery because it cannot see without fire and light. Human hearing is air because sound is made striking the air, human smell and taste both are waterish and human feelings are earthly.

Actually, all earthly things are made of four elements, as earth is slow and makes firm motions. The readers must know that waterish people are fearful and sluggish, while airy peoples are cheerful and amiable disposition throughout life. Fiery people have fierce, quick and angry disposition.

Men on earth do not ponder over the real nature of things on earth and in heaven that is why they cannot trace the mystery of things spreading around him on earth. For example, fire is used where there is made worship in temple, in mosques and churches because fire purifies all kinds of dross matters from human body and soul are a secret mystery.

There are two things that are searched: man and earth and nothing else. Man’s body organs are and its functions are searched by the doctors and those who search human eye functions and its faults are called eye specialists in common language as the case with other organs of human body but man is searched by separate man by separate organs. On the other hand, those who search earth as oil, gas, minerals, stones…

Those search man and earth find the mystery of the whole universe because all things lie in these two things: but men have ignored the search of men and earth that is why they have forgot their birth mission on earth chasing money and money. Men must search earth and man to get success on earth and in heaven. Both researches will lead the researchers to the right path on earth and in heaven surely.

Men should study self to find the mystery of health and disease in human body and its treatment is found on earth: in plants and minerals and nothing else. I request my readers to ponder over human body and earth.

The Wonders of Four Elements on Earth and in Heaven
December 22, 2016
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I have studied most of the books of natural philosophies but the whole books reveal that in heaven and on earth four elements perform all major and minor functions on earth and in heaven as fir, water, are and earth. There are two qualities of every element inferior virtues and superior virtues. God has mixed superior element into inferior element on earth but in heaven is present only superior element.

Superior virtues are mixed into inferior virtues by mixing their rays not their elements as we see in cement and sand are mixed but their physical element not soul element. That is why every inferior and superior element may be mixed into each other just by means of their hidden virtues not by their elemental body as we see in real word is not the same as we see in human body.

When we analyze earth is dissolved into water and after this it becomes thick and hard according to law of nature and thus becomes earth again the nature of earth. When we analyze deeply water when we heat water it evaporates and turns into air and kindling it turns into fire again according to law of nature and when fire extinguishers it also turns into air again and when it cools down it becomes again earth.  According to Plato, earth is changeable from the very beginning and the function of change is done by fire and air.

When we analyze the nature of fire that it is hot, dry and cold, but the water is moist, cold and hot and keeping in mind the two elements virtues in mind we conclude that the two elements are contrary to nature as fire to water and earth to air. The deep study of the elements reveals that some elements are heavy and some elements are light. Earth and water are heavy elements but air and fire both are light elements as we al know and physically see. Air and fire are active but water and earth are passive due to heaviness.

The four elements and each of one has its own special virtue as fire has brightness and along with it has swift motion while earth has three qualities, darkness, thickness and quietness is the soul of earth and both elements are contrary to each other nature wise. As we that air borrows two virtues from fire as motion and swiftness and darkness from earth just like water borrows two qualities from earth darkness and thickness and one of the major qualities of air and fire motion and swiftness in a cunning way.

When we compare the four elements from one another we see that fire is thinner than air and swift three times more than air think and bright and more active than water nature wise but a few people know these traits of the elements because they do not ponder over the virtues of four elements living on earth. When we compare earth and water, we see that water is brighter than earth is dark and silent. Fire agitates fire and water agitates earth to dissolve it and gains the water evaporates and dissolved earth becomes earth again.

I advise the readers to ponder over the four elements in lone you will find the root of all miracles on earth done by our forefathers in olden days. The four elements are the root of all wonders on earth and to know the wonderful virtues of the element the readers will have to think in lone how the elements work and transfer their virtues to another secretly like a ghost walks in the dead silence of night but nobody is ready to do his job in lone.

The virtues of four elements are transferable to one another as the honeybees collects different virtues of flower and makes all in one wonderful herb beneficial for human body and this wonderful mixture has wonderful healing power as we all know in daily life. Boil the water, it will turn into steam and the steam will rise to the sky will turn into smoke, and the smoke will rise to the sky and will freeze is called ice and when in the sky heat will be more it will melt and turn into water will come again on earth to flourish the whole universe.

How Angels Work on Earth for Human Beings
December 22, 2016
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I used to think in my child about the structure of the whole universe, earth, heaven and hell and what are their realities and how they all work together in heaven and on earth. When I reached in higher I came to know about their realities in bold words but I have to pay extra attention to learn the secret of the whole universe was a very laborious task.

A deep study of the whole holy books clearly reveals that the whole universe is divided into three parts: an elemental world, celestial world and intellectual world and these three worlds work together on earth and in heaven con cooperation. First of all the readers must understand that according to law of nature every superior being is controlled in heaven and on earth by superior being.

The superior works in heaven are don by the holy angles, on the earth all works are done the planets, in the deserts by plants, on the mountains by the stones, and in the animal kingdom by the animals carefully but all unknown to men’ physical eyes but seen by mystic eye is the basic secret of nature and God.

All these elements convey the being of God in all things, in men, in animal, in stones, in plants, in elements and in metals. We all must keep in mind that every particle of this universe is governed by an angle preside over t by the decree of Omnipotent God,

All wise men know that there is a deep link between every particle of this universe and God and there is no doubt in it that all beings alive and non alive are made by God on earth and in heaven and their beings are for special purpose on earth and in heaven.

The first cause of all things on earth and in heaven is God that is why we enjoy the virtues of all things without thanking Go for using them. If we contemplate over the hidden virtues of things beneficial for men will wonder but alas there are very a few know accept God’s will in all works in daily life. Think there is not moon at night, it is sure that there will no fruits sweet and no woman will be pregnant throughout life.

All virtues come on earth from above in the form of rays carrying heavenly virtues for the benefits of earthly men but men do not cogitate over the heavenly virtues and remain thankless to God throughout life. Someday think about the mystery of day and night and its role in human life on earth.

As you know the physicians trace the virtues of elementary world in forms of medicines and the juices of different plants and herbs and trees, flowers…Chemists trace the virtues of elements in mixing different types of natural thing in different ratio to produce the desired result and get success with the passage of time. The science traces the celestial virtues in the rays of the planets to know the nature of rays for human beings’ betterment.

All celestial virtues may be confirmed by mixing them together in fixed ratio produces the desired result for betterment and destruction as we see the power of atom bombs of different types. Laser technology is the production of celestial rays coming from above for the betterment of human beings on earth.

The man who ponders over the four elements’ mystery will find the secret of earth and heaven but it is a laborious job for lay men but very interesting for wise men of earth, the sons of Eve. Men revive three rays from above, the rays of planets, the rays of matter and the rays of God directly but all unseen by physical eyes but visible by the spiritual eye.

Those who do not believe in God’s presence on earth and in heaven are foolish and thankless to God who is their creator and the Maker of the whole universe just by a single order. It is a fact wise men accept God’s commandments and the foolish reject it due to lack of knowledge.

We may say that wise men love wisdom and the foolish reject wisdom and fall prey to destruction in spite of having wisdom a heavenly gift is nothing for them.

Parametric vs nonparametric data in econometrics
July 20, 2016
Parametric vs nonparametric data



The set of observations that reflect certain characteristics are known as Data. There are two types of data in regards to parametric vs nonparametric data, which are as follows:


Econometrics – Parametric vs nonparametric data

In econometrics quantitative research and analysis, the definition of parametric and nonparametric as a different meaning. Following are the definitions that best explains Parametric Data and non-parametric data in Econometrics and quantitative research & analysis.


Parametric Data

The data that needs a vector to be defined with its magnitude is called a parametric data. For example to define GDP, it requires the currency to support the data. Suppose the GDP of XYZ country in year 2015 is 1.2 million dollar. So the dollar sign over here acts as a vector and therefore GDP is a parametric data. Data which is derived from parametric data, though having no vector, will also be known as parametric data. For example, GDP growth has no vector part, but it is derived from the last year GDP and the current year GDP, therefore GDP growth will also be a parametric data.


Parametric Econometrics and quantitative research & analysis


Nonparametric Data

The data that does not required vector is called nonparametric data. For example, there are 5 students in a course. Here the data does not requires any vector to be defined and therefore known as nonparametric data. Another example of nonparametric data can be the level of satisfaction with a product in a scale of 1 to 5.


nonparametric Econometrics and quantitative research & analysis


In reality, parametric data and procedures require more assumption as compared to the non-parametric data and procedures. If these assumption of parametric data and procedures are correct than the estimated results are more accurate and this will then be noted as most powerful statistical tool. However, on the other hand if these assumptions are not correct then the results will be highly incorrect.

Parametric data and procedures are mostly used due to their simple formulas and fast computing techniques.


For further detail you can visit below website:

Google Books



Hurry up! Else it is a problem – content marketing

Content Marketing

Hello Everyone!

This article is about content marketing. You created content and want to market it. What should be done now in order to promote it?

The most important and working strategy is called “Hurry Up strategy”. Yes, you read it right.

This trick alone is known to boost sales by marking by whopping 300% than the case if you do not follow the strategy at all.

This is what you have to do

Just as the name suggests, you have to convince your potential customers to take a quick action. Some common examples are like this:

Hurry Up! Today it costs $1 and tomorrow, it will cost $10.

Hurry Up! If you buy today, you get 3 courses at a price of 1. Tomorrow the situation will change

Read more

Breaking the trend
giraffe-657773_1280S lEAP ON MY BEAUTY

Yet, if we think of walking, we do spend a good deal of our life doing just that. Surprisingly, we walk 111,000 miles in our lifespan of 70 years. This assumes that you walk an average of 7,777 steps a day. This works out to 5,432 steps in the busy session, say morning and the rest in the evening.

With the expansive reach of the internet, we can get just about anything with the mere press of a button. So, is all this walking needed? We are breaking a trend; we are walking less. Nevertheless, compared to the amount of time we spend sleeping, this only takes about one-twentieth of the time.

Read more

Causal data analysis by Granger Causality Test in EViews
October 28, 2014


As we have learned in previous posts, that, causality defines the relationship between two variables. In this section, we will test the relationship between two unidirectional variable by using Granger causality test in Eviews and then we will study the interpretation of the output generated in Eview.

Granger causality test eviews


To investigate the causal relationship between two variables with the help of granger causality test eviews you need to follow below steps:

1. Open Eviews6.exe

2. Click on File -> Open -> Foreign Data as Workfile…


Investigate Causality by Granger Causality Test in EViews


3. Open the data file “broadband_1 “ by selecting through the path C:\Program Files\SPSSInc\Statistics17\Samples\English

4. Select MARKET_1 and MARKET_2 -> OK


Investigate Causality by Granger Causality Test in EViews


5. Click on Quick -> Group Statistics -> Ganger Causality Test


granger causality test eviews econometrics


6. Write down the dependent variables followed by independent variables and then click OK:


Investigate Causality by Granger Causality Test in EViews


7. Select lags to include = 2 and then click OK:


Investigate Causality by Granger Causality Test in EViews


8. Following output will be displayed:

Interpretation of Granger causality test Eviews


Interpretation of Granger causality test Eviews


Two null hypotheses are being displayed in the above output.

If F ≥ 3.84 then H (A) (Alternate hypothesis is accepted)

If F < 3.84 then H (o) (Null hypothesis is accepted)


For the null hypothesis 1, in the above figure F ≥ 3.84, therefore Alternate hypothesis is going to be accepted which means MARKET_2 Causes MARKET_1.

Whereas, for the null hypothesis 2, in the above figure F < 3.84, therefore null hypothesis is going to be accepted which means MARKET_1 does not Causes MARKET_2.

Hence this proves that the above cause and effect relationship is unidirectional and not bidirectional.


For further details click here granger causality test eviews.



Concept of Causality and Causal Variables
October 28, 2014


Causality is the relationship between two variables, the first being cause and the second being effect. There are two types of causality relationship between these variable, bidirectional causality and unidirectional causality. The relationship between these two variables should be either unidirectional or bidirectional.


Unidirectional causality & bidirectional causality:


Unidirectional causality & bidirectional causality


Cause is an Independent Variable (IV), whereas Effect is a Dependent Variable (DV)

In cause effect relationship, we will always test sufficient condition first, because if sufficient condition is present then this means that necessary condition will automatically has to be present. For example, consider Cause variable as Clouds and effect variable as rain. The effect variable, that is, rain will also be known as sufficient condition. So in this model we will check if rain is present or not. If suppose we can see that rain is present, then it is automatically necessary that there must be cloud present due to which rain occurred, therefore the presence of cloud is known as necessary condition. We can conclude that if sufficient condition is true, then automatically necessary condition has to be true.

In bidirectional causality, Cause variable causes effect variable, however, at the same time effect variable also causes Cause variable. This means both reactions can take place simultaneously.


Unidirectional Causality and Granger Causality Test:


Condition for unidirectional cause variables are:

  1. Both variables should be in time series.
  2. Both variable should have shocks (non-Stationarity).
  3. In both time series, shocks should be fixed by the help of 1st or 2nd
  4. AR – process should be present.
  5. GARCH should be significant, that is, volatility should also be present.
  6. Number of variable should be equal to two.

The test used to check unidirectional causality is known as Granger Causality Test.


Bidirectional causality and Cross-correlation Test:


Condition for bidirectional cause variables are:

  1. Both variables should be in time series.
  2. Both variable should have shocks (non-Stationarity).
  3. In both time series, shocks should be fixed by the help of 1st or 2nd
  4. AR – process should be present.
  5. GARCH should be significant, that is, volatility should also be present.
  6. Number of variable should be equal to two.
  7. There should be a significant unidirectional causality between both time series variables.


The test used to check bidirectional causality is known as Cross-correlation Test.




Volatility models by ARCH & GARCH econometrics using eviews
October 27, 2014
Output of Investigating volatility by GARCH & ARCH in EViews


Volatility models by ARCH & GARCH econometrics using eviews


In order to investigate Volatility models by ARCH & GARCH econometrics using Eviews you need to follow below steps in Eview 6:


1. Open Eviews6.exe

2. Click on File -> Open -> Foreign Data as Workfile…

Investigating volatility by GARCH & ARCH in EViews


3. Open the data file “broadband_1 “ by selecting through the path C:\Program Files\SPSSInc\Statistics17\Samples\English

4. Select MARKET_1 and MARKET_2 -> OK


Volatility models by ARCH & GARCH econometrics using eviews


5. Click on Quick -> Estimate Equation…


econometrics using eviews


6. Select ARCH (Auto Regressive Conditional Hetroskedasticity in methods tab.


arch econometrics


7. Write the dependent variable first and then than the independent variable and then click OK:


volatility models


8. You will see the following output:


Volatility models by ARCH & GARCH econometrics using eviews


The variance equation table shows that MARKET_2 is not taking any part in the model, which is the property of a catalyst, and therefore the independent variable (MARKET_2) is acting as a catalyst. Since the probability of MARKET_2 is equal to 0, that is P<0.05, therefore condition or catalyst is significantly present in the model.

Now coming to variance equation table, the probability of RESID(-1)^2 [ARCH Term] is equal to 0.25, that is P>0.05, therefore volatility cannot be predicted by ARCH term as its probability is insignificant. However, the probability of the [GARCH Term] GARCH(-1) is equals to 0, that is P<0.05, therefore GARCH term is significantly predicting volatility in this model.

Now we will check significance of the whole model with the help of R-Squared or Adjusted R-Squared. If there is only one independent variable in the model then R-Squared is used and if more than one independent variable, then we use Adjusted R-Squared. In this case, since we have more than one independent variable, therefore we will consider Adjusted R-Squared.

The value of Adjusted R-Squared is equal to 0.884 * 100 = 88.4%. This means that this model is 88.4% healthy.

Lastly, the output model is generated by 3 methods:

  1. Akaike info criterion                   75089605376214
  2. Schwarz criterion                         89051902457694
  3. Hannan-Quinn criter.                 805510273286

The maximum value in the above methods is 15.89, therefore the report or result which is being generated above is represented by Schwarz criterion.

Finally, we can conclude that in this model GARCH term has predicted volatility, with the condition MARKET_2 being the catalyst.


Now we can conclude that GARCH is the model which measures volatility and the econometric tool which is used to gauge volatility is known as ARCH.

At this point, we can now conclude the investigation of Volatility models by ARCH & GARCH econometrics using Eviews


Exponential GARCH or e-GARCH


Now we are clear on tfe investigation of Volatility models by ARCH & GARCH econometrics using Eviews, so we can also discuss some more complex forms of GARCH.

If multiple volatility is connected together in a linear pattern, than the model used to measure volatility is known as Liner GARCH. Whereas, if there are multiple volatility connected together such that it forms an exponential pattern, then the model used to measure volatility is known as Exponential GARCH or e-GARCH. If the trend of the volatility changes in a way like bubble where t -> 0, then this is called Component GARCH.


Exponential GARCH or e-GARCH


Simple GARCH model is expressed as:


Simple GARCH model


Whereas, E-GARCH is expressed as:


E-GARCH model

ARCH models & generalized autoregressive conditional heteroskedasticity
October 27, 2014


Concept of volatility


If the water changes to gas then this is called volatility. Similarly, if data has random stages such as Brownian motion than this also means that data is volatile.

The variation in data is mostly due to internal factors. The external factor does not change the volatility or does not bring volatility, but it may work as a catalyst to expose the data.


ARCH models & generalized autoregressive conditional heteroskedasticity (GARCH)


ARCH models & generalized autoregressive conditional heteroskedasticity can be best explain by below model:


Volatility= ∝ + ARCH Term+ GARCH Term


Volatility is gauged by the model known as GARCH and the econometrical tool used is known as ARCH.

ARCH models & generalized autoregressive conditional heteroskedasticity model can be mathematically be expressed as:


arch models & generalized autoregressive conditional heteroskedasticity


Whereas, GARCH is also known as volatility.




Heteroskedasticity Vs Homoscedasticity:


To understand ARCH models & generalized autoregressive conditional heteroskedasticity, you first need to understand the concept of Heteroskedasticity and Homoscedasticity.

Consider below model:

X= ∝ + β Y+ET

Suppose for the above model, we have different values of x and y with respect to the change in years, whereas ET remains same as mention in below table:


homoskedasticity observations


Considering the above model and the table we can now define Homo / Heteroskedasticity as:

When independent variable explains or predicts the dependent variable and at every time “ET” or error term remains same, then this is called homoskedasticity, where as if “ET” is different as shown in below table, then this is called heteroskedasticity.


Heteroskedasticity observations


The formula for the moment is:  Moment= (∑(x-AM)^n )/N


Where, AM = Arithmetic mean, N = total number of observation, n = nth Moment about mean

If n = 2, then this equation turns to Variance.

Therefore the mathematical expression or the formula for Homo / Heteroskedasticity can be further derived from the variance formula as mentioned below:


Heteroskedasticity and Homoscedasticity model


Where ET = Error term and AM (ET) = Arithmetic mean of the error term.

If H = 0, then this means homoskedasticity is present, else Heteroskedasticity.


ARCH (Auto regressive conditional heteroskedasticity / GARCH (Generalized Auto regressive conditional heteroskedasticity) :


The term ARCH stands for Auto Regressive conditional heteroskedasticity. Up till now we are clear on all of the terms meaning in ARCH except for conditional heteroskedasticity. If heteroskedasticity is due to any condition that is due to any catalyst involved then this kind of heteroskedasticity will be termed as conditional heteroskedasticity. Therefore we can summarize, that if AR process exists in a model and side by side heteroskedasticity exists due to any catalyst present then this will be known as ARCH.

Remember: if homoskedacity is present then volatility cannot exist, whereas on the other hand if heteroskedasticity is there, then volatility may exist.