Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Technical analysis, Lecture notes of Investment Management and Portfolio Theory

For students of union College.it is based on share markets

Typology: Lecture notes

2018/2019

Uploaded on 12/05/2019

emdadul-sagar
emdadul-sagar 🇺🇸

3 documents

1 / 85

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Investment basics
Two generic types of investment strategies Fundamental analysis and technical
analysis
In fundamental analysis, we try to determine the intrinsic value of a share – value
that should incur
In technical analysis, we try to track the future value of a share value which is
expected to incur
So, without even knowing the firm’s name we can trade and garner profit.
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe
pff
pf12
pf13
pf14
pf15
pf16
pf17
pf18
pf19
pf1a
pf1b
pf1c
pf1d
pf1e
pf1f
pf20
pf21
pf22
pf23
pf24
pf25
pf26
pf27
pf28
pf29
pf2a
pf2b
pf2c
pf2d
pf2e
pf2f
pf30
pf31
pf32
pf33
pf34
pf35
pf36
pf37
pf38
pf39
pf3a
pf3b
pf3c
pf3d
pf3e
pf3f
pf40
pf41
pf42
pf43
pf44
pf45
pf46
pf47
pf48
pf49
pf4a
pf4b
pf4c
pf4d
pf4e
pf4f
pf50
pf51
pf52
pf53
pf54
pf55

Partial preview of the text

Download Technical analysis and more Lecture notes Investment Management and Portfolio Theory in PDF only on Docsity!

Investment basics

 Two generic types of investment strategies – Fundamental analysis and technical

analysis

 In fundamental analysis, we try to determine the intrinsic value of a share – value

that should incur

 In technical analysis, we try to track the future value of a share – value which is

expected to incur

So, without even knowing the firm’s name we can trade and garner profit.

Investment basics – continued

 In fundamental analysis – we use the available financial statement data,

our conceptions about industry, macro-economy, firm specific issues to

derive the value.

 On the other hand, in technical analysis – we just need the price data

and volume data.

 In fundamental analysis – we often use a lot of subjective assumptions.

 Technical analysis is very precise and very objective.

So, technical analysis is less time-consuming and more concrete

Technical analysis – premises

 History repeats – same is the case with price patterns and trends

 Only and only demand and supply affects the stock price is a highly

restrictive assumption of fundamental analysis

 The market is a liquid one is a restrictive assumption of fundamental

analysis as well

So, DSE may not be the appropriate place for technical analysis, but do we

have options?

A general framework for technical

analysis

 (^) Step 1: Adjust the data; for example use return series instead of a raw price data  (^) Step 2 : Test of randomness in the data set; for example test the data set for ARIMA (0,1,0), or run test  (^) Step 3: Use technical indicators provided the return series is non-random. Do a diagnosis test to check the extent, direction and strength of the trend through ADX, + DI, - DI and ATR  (^) Step 4: Use lagging indicators like Moving average or MACD for trending data; use leading indicators like RSI, William’s R for trading data  (^) Step 5: Use volume based indicators like OBV, NBV or MFI for convergence and divergence  (^) Step 6: Look out for the existing bigger pattern and cycle – reversal, continuation, flat  (^) Step 7: Use candlestick patterns before final buy or sell decision

Step two – Testing randomness

 (^) Method – ARIMA (0,1,0)  (^) ARIMA (a dynamic time series model) will be used to check whether the return series depends on the past values of the return series and past disturbance elements. The model is generally referred to as an ARIMA (p, d, q) model where p, d, and q are integers greater than or equal to zero and refer to the order of the autoregressive, integrated, and moving average parts of the model respectively.  (^) Autoregressive orders (AR) - specify which previous values from the series are used to predict current values.  (^) Difference (I) - Specifies the order of differencing applied to the series before estimating models.  (^) Moving average (MA) orders specify how deviations from the series mean for previous values are used to predict current values.  (^) Null hypothesis – Data set is not random  (^) Level of significance – 5% generally

Step three – Testing trend existence, direction

and strength

 Trend existence checking – ADX or generally time-series based regression

 Null hypothesis – The trend co-efficient is zero

 Level of significance – 5% generally

 Trend direction – The level of +DI and –DI or the sign of trend co-efficient

 Trend strength – ATR is the best method; but standard deviation or beta can also

be used to depict the volatility

Step five – Volume based indicators

 Volume based indicators like OBV – on balance volume can be used to

confirm a trend, to pick up bullish divergences or bearish divergences.

 Price often follows the volume

Technical analysis – theory

 Dow theory: Three simultaneous market movements – major

trend, medium swing and minor adjustment

 Elliott wave theory: Market cycles are composed of impulse

waves and corrective waves. Usually 4 impulses and 4 corrective

impulses take place sequentially.

So, do not panic – price fall can just be a part of the cycle.

Elliott wave theory

Technical analysis – chart

 Line chart – presents stock prices with respect to time

 Scaled chart – presents price changes not the absolute price with respect to

time

 Point and figure chart – only significant days matter, noises are eliminated

 Candlestick chart – represents inter-day price volatility

 Relative strength analysis – a depiction of relative performance with respect to

time

So, the traditional charts may not be the best way to understand the market

dynamics.

Candlestick chart basic

Candlestick chart basic

 (^) Long white candlesticks show strong buying pressure. The longer the white candlestick is, the further the close is above the open. This indicates that prices advanced significantly from open to close and buyers were aggressive. While long white candlesticks are generally bullish, much depends on their position within the broader technical picture. After extended declines, long white candlesticks can mark a potential turning point or support level. If buying gets too aggressive after a long advance, it can lead to excessive bullishness.  (^) Long black candlesticks show strong selling pressure. The longer the black candlestick is, the further the close is below the open. This indicates that prices declined significantly from the open and sellers were aggressive. After a long advance, a long black candlestick can foreshadow a turning point or mark a future resistance level. After a long decline a long black candlestick can indicate panic or capitulation.

Marubozu brothers

 (^) Marubozu do not have upper or lower shadows and the high and low are represented by the open or close. A White Marubozu forms when the open equals the low and the close equals the high. This indicates that buyers controlled the price action from the first trade to the last trade. Black Marubozu form when the open equals the high and the close equals the low. This indicates that sellers controlled the price action from the first trade to the last trade.

Marubozu brothers