Friday, January 4, 2013

Investment risk resides most where it is least perceived!

“I  wouldn’t buy that at any price everyone knows it’s too risky.” That’s something I’ve heard a lot in my life, and it has given rise to the best investment opportunities I’ve participated in. . . . 

The truth is, the herd is wrong about risk at least as often as it  is about return. A broad consensus that something’s too hot to handle is almost always wrong. Usually it’s the opposite that’s true.

I’m firmly convinced that investment risk resides most where it is least perceived, and vice versa:
•  When everyone believes something is risky, their unwillingness to buy usually reduces its price to the point where it’s not risky at all. Broadly negative opinion can make it the least risky thing, since all optimism has been driven out of its price.
•  And, of course, as demonstrated by the experience of Nifty Fifty investors, when everyone believes something embodies no risk, they usually bid it up to the point where it’s enormously risky. No risk is feared, and thus no reward for risk bearing no “risk premium” is demanded or provided. That can make the thing that’s most esteemed the riskiest.

This paradox exists because most investors think quality, as opposed to price, is the determinant of whether something’s risky. But high quality assets can be risky, and low quality assets can be safe. It’s just a matter of the price paid for them. . . .  Elevated popular opinion, then, isn’t just the source of low return potential, but also of high risk.

“Everyone Knows,” April 26, 2007
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Intelligently bear risk for profit!

When you boil it all down, it’s the investor’s job to intelligently bear risk for profit. Doing it well is what separates the best from the rest.
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Risk arises as investor behavior alters the market!

Risk arises as investor behavior alters the market. Investors bid up assets, accelerating into the present appreciation that otherwise would have occurred in the future, and thus lowering prospective returns. And as their psychology strengthens and they become bolder and less worried, investors cease to demand adequate risk premiums. The ultimate irony lies in the fact that the reward for taking incremental risk shrinks as more people move to take it.
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To accept risk unknowingly!

The reality of risk is much less simple and straightforward than the perception. People vastly overestimate their ability to recognize risk and under-estimate what it takes to avoid it; thus, they accept risk unknowingly and in so doing contribute to its creation.
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When worry is in short supply...

But only when investors are sufficiently risk-averse will markets offer adequate risk premiums. When worry is in short supply, risky borrowers and questionable schemes will have easy access to capital, and the financial system will become precarious. Too much money will chase the risky and the new, driving up asset prices and driving down prospective returns and safety.
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A few risk related quotes!

My belief is that because the system is now more stable, we’ll make it less stable through more leverage, more risk taking.
MYRON SCHOLES

The received wisdom is that risk increases in the recessions and falls in booms. In contrast, it may be more helpful to think of risk as increasing during upswings, as financial imbalances build up, and materializing in recessions.
ANDREW  CROCKETT

No matter how good fundamentals may be, humans exercising their greed and propensity to err have the ability to screw things up.
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Failures to foresee and manage risk!

Investment risk is largely invisible before the fact except perhaps to people with unusual insight and even at er an investment has been exited. For this reason, many of the great financial disasters we’ve seen have been failures to foresee and manage risk. There are several reasons for this.

•  Risk exists only in the future, and it’s impossible to know for sure what the future holds. . . .  No ambiguity is evident when we view the past. Only the things that happened, happened. But that definiteness  doesn’t mean the process that creates outcomes is clear-cut and dependable. Many things could have happened in each case in the past, and the fact that only one did happen understates the variability that existed.
•  Decisions whether or not to bear risk are made in contemplation of normal patterns recurring, and they do most of the time. But once in a while, something very different happens. . . .Occasionally, the improbable does occur.
•  Projections tend to cluster around historic norms and call for only small changes. . . .  The point is, people usually expect the future to be like the past and underestimate the potential for change.
• We hear a lot about “worst-case” projections, but they often turn out not to be negative enough. I tell my father’s story of the gambler who lost regularly. One day he heard about a race with only one  horse in it, so he bet the rent money. Halfway around the track, the  horse jumped over the fence and ran away. Invariably things can get worse than people expect. Maybe “worst-case” means “the worst  we’ve seen in the past.” But that  doesn’t mean things  can’t be worse in the future. In 2007, many people’s worst-case assumptions  were exceeded.
•  Risk shows up lumpily. If we say “2 percent of mortgages default” each year, and even if that’s true when we look at a multi-year average, an unusual spate of defaults can occur at a point in time, sinking a structured finance vehicle. It’s invariably the case that some investors especially those who employ high leverage will fail to survive at those intervals.
•  People overestimate their ability to gauge risk and understand mechanisms they’ve never before seen in operation. In theory, one thing that distinguishes humans from other species is that we can figure out that something’s dangerous without experiencing it. We don’t have to burn ourselves to know we shouldn’t
sit on a hot stove. But in bullish times, people tend not to perform this function. Rather than recognize risk ahead, they tend to overestimate their ability to understand how new financial inventions will work.
•  Finally and importantly, most people view risk taking primarily as a way to make money. Bearing higher risk generally produces higher returns. The market has to set things up to look like that’ll be the case; if it didn’t, people  wouldn’t make risky investments. But it  can’t always work that way, or  else risky investments  wouldn’t be risky. And when risk bearing  doesn’t work, it really  doesn’t work, and people are reminded what risk’s all about.
“No Different This Time,” December 17, 2007
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Many futures are possible!

For the most part, I think it’s fair to say that investment performance is what happens when a set of developments, geopolitical, macro-economic, company-level, technical and psychological collide with an extant portfolio. Many futures are possible, to paraphrase Dimson, but only one  future occurs. The future you get may be beneficial to your portfolio or harmful, and that may be attributable to your foresight, prudence or luck. The performance of your portfolio under the one scenario that unfolds says nothing about how it would have fared under the many “alternative histories” that  were possible.
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Probability and outcome!

“There’s a big difference between probability and outcome. Probable things fail to happen— and improbable things happen— all the time.”
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Pakistan Market: Corrections in a cash based market

AKD Daily
Pakistan Market: Corrections in a cash based market
The KSE-100 Index shed 305 points (-1.85%) yesterday, up from an intraday low of -ve 2.54%, but a deep correction nonetheless. This brings the market's fall from the recent intraday high of 17,000 points to 3%. While valuations are still attractive (forward P/E: 7.1x, D/Y: 7.8%), political noise and macroeconomic weakness now appear to be coming to the forefront of investor attention. In this regard, contrary to general consensus, the market has witnessed several corrections even while operating without leverage. Specifically, since 2009 the Pakistan Market has experienced 10 corrections, each lasting 38 days on average and erasing 9% from market capitalization. Going by precedence, if this is indeed the cusp of a correction, the KSE-100 Index could potentially head towards 15,500 points. While we advocate caution in the near-term, we believe strong corporate profitability will soon turn attention to valuations where our Jun'13 Index target is 18,500 points. Our top picks are FATIMA, POL, KAPCO, ENGRO, UBL and PSMC while high D/Y (E&P; Fertilizers) and US$-hedged plays (Power) may outperform in the near-term.           .
The bigger picture: In losing 1.85% yesterday, the KSE-100 Index has now shed 3% so far in CY13. In this regard, although positives such as relatively soft CPI (8.3%YoY in 1HFY13) and release of CSF flows continue to unfold, these appear to have been sidelined by an increase in political uncertainty and greater acceptance that an IMF program (and accompanied adjustments to interest rates and the currency) may be needed in the next 6 months. Political noise could also continue to step up across the next few weeks, with new players on the political chessboard calling for electoral reform as the ruling coalition's 5yr term comes to an end. Together with an absence of positive triggers (result season still a month away), these factors have for now seemingly thwarted attractive valuations (forward P/E: 7.1x, D/Y: 7.8%).                         .
So how much of a correction? Over the last few years, the market has essentially operated free of leverage but has still had its fair share of corrections. Specifically, since 2009 the Pakistan Market has experienced 10 corrections, each lasting 38 days on average and erasing 9% from market capitalization. Going by precedence, if this is indeed the cusp of a correction, the KSE-100 Index could potentially head towards 15,500 points in the near-term. At this point, the market's forward P/E would be 6.7x while D/Y would climb to 8.3%, valuation levels that we believe would once again override broader concerns and drive a fresh rally particularly as results start to trickle in.            .
Investment Perspective: We view any correction in the market as an opportunity to build fresh positions. While we advocate caution in the near-term, we believe strong corporate profitability will soon turn attention to valuations where our Jun'13 Index target is 18,500 points. Our top picks are FATIMA, POL, KAPCO, ENGRO, UBL and PSMC while high D/Y (E&P; Fertilizers) and US$-hedged plays (Power) may outperform in the near-term. Alternatively, 2012 star performers (Textiles and Cements) may bear most of the brunt on the downside.

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JDWS - J. D. W. Sugar Mills Ltd. - Analysis - 04/01/2013

Company JDWS Symbol
Company Name J. D. W.  Sugar Mills Ltd.               Company Name
Sector Food Producers Sector
Avg EPS Rs 14.43 Average of past year end EPS's
Avg EPS FV Rs 151.86 Fair Value (DCF) based on average of past year end EPS's
EPS Rs 11.50 Last four quarters EPS
EPS FV Rs 121.05 Fair Value (DCF) based on last four quarters EPS
Current Price Rs 117.95 Last closing stock price
Updated January 2013 Data Month/Year
Div Rs 6.00 Total dividend paid during last four quarters
Div FV Rs 63.16 Fair value (DD) based on total dividend paid during last four quarters
Avg Div Rs 3.80 Average of yearly dividends paid (including currently paid ones)
Avg Div FV Rs 40.00 Fair value (DD) based on Average of yearly dividends paid (including current)
Avg Rs -45.14 Fair value (averaged of other fair value)
Upside -138.27% Upside potential (in percentage) based on the above Average.
Div Yield 5.09% Dividend yield
Book Value Rs 82.66 Book Value
FV FCF/S Rs -638.69 Fair Value based on free cash flow per share
Outstanding Shares 59,776,661 Number of  Outstanding Shares
Current Assets Rs 12,424.00 Currency in Millions of Pakistan Rupees
Total Liabilities Rs 20,553.00 Currency in Millions of Pakistan Rupees
NCAV/S Rs -135.99 Net Current Asset Value / Share
Total Assets Rs 25,494.00 Currency in Millions of Pakistan Rupees
Quarter June 2012 Data Quarter
CfO Rs -2,212.00 CASH FROM OPERATIONS (Millions of Rs)
FCF/S Rs -60.68 Free Cash Flow per Share
P/E 10.26 Price over earnings ratio
P/E Sector Avg 0.48 Sector Average P/E
P/B 1.43 Price over book value ratio
P/B Sector Avg 6.13 Sector Average P/B
PR 52.17 Payout Ratio (in %)
PR Sector Avg 14.72 Sector average Payout Ratio (in %)
D/E Ratio 52.17 Debt / Equite ratio (%)
Sector D/E Ratio 401.28 Sector Debt / Equity ratio (%)
Symbol JDWS
Current Price Rs 116.00
Previous Day Price Rs 120.00
Daily Return -3.33%
Price Week Ago Rs 124.15
Weekly Return -6.56%
Price Month Ago Rs 126.00
Monthly Return -7.94%
Price Quarter Ago Rs 102.52
Quarterly Return 13.15%
Price Year Ago Rs 77.00
Yearly Return 50.65%

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KSE EOD Daily Share Price Data - 03/01/2013

For: January 03, 2013
SYMBOL OPEN RATE HIGH RATE LOW RATE CLOSING RATE TURNOVER
AACIL 5.48 5.6 5.35 5.6 23,000
ABL 71 71.5 70.01 71 12,000
ACPL 97.33 97.35 96.05 96.1 2,000
ADOS 16.4 17.4 16.99 17.4 43,500
AGIC 13.01 14.01 13.79 14.01 3,000
AGL 11 11.7 10.75 11.64 68,000
AGTL 226 229.99 225 229.99 1,800
AHCL 23.75 24.25 23.4 23.72 247,000
AHCL-CFEB 24.2 0 0 24.13 0
AHCL-CJAN 23.96 0 0 23.9 0
AHCL-CMAR 24.5 0 0 24.43 0
AHCL-JAN 23.97 24.2 23.7 24.2 14,500
AHI 14.8 15.14 14.71 15.14 4,000
AHL 29.09 29.99 28.8 29.91 24,500
AICL 65.09 65.5 63.2 64.61 155,500
AICL-CFEB 66.31 0 0 65.74 0
AICL-CJAN 65.65 0 0 65.09 0
AICL-CMAR 67.14 0 0 66.55 0
AICL-JAN 65.5 66.87 64.65 65.24 7,500
AKBL 17.06 17.5 17.01 17.25 1,214,500
AKBL-CFEB 17.38 0 0 17.55 0
AKBL-CJAN 17.21 0 0 17.38 0
AKBL-CMAR 17.6 0 0 17.77 0
AKBL-JAN 17.29 17.56 17.25 17.48 114,500
AKDCL 54.64 57.37 56.5 57.37 2,000
AKZO 83.42 84 82.5 83.5 900
AMTEX 2.33 2.49 2.3 2.42 120,500
ANL 7.27 7.75 7.1 7.52 3,990,000
ANLTFC2 94 10 10 94 2,000
APL 507.15 507 503 503.96 5,000
APOT 14.4 13.5 13.5 13.5 500
ASHT 13.9 13.9714 13.9714 13.9714 0
ASL 10.27 10.3 10.25 10.25 50,000
ASLPS 9.9 9.6 9.5 9.6 2,500
ATBA 225.13 224.6 224.6 224.6 300
ATFF 9.5 9.5 9.31 9.31 25,000
ATIL 44.5 44.2 44.05 44.05 1,500
ATLH 148.4 149.7 147 148.28 6,600
ATRL 163.12 164 161.75 163.03 113,400
ATRL-CFEB 166.19 0 0 165.88 0
ATRL-CJAN 164.53 0 0 164.25 0
ATRL-CMAR 168.25 0 0 167.92 0
ATRL-JAN 164.81 165 163 164.4 74,500
BAFL 16.3 16.58 16.11 16.44 995,000
BAFL-CFEB 16.61 0 0 16.73 0
BAFL-CJAN 16.44 0 0 16.56 0
BAFL-CMAR 16.81 0 0 16.93 0
BAFL-JAN 16.45 16.69 16.32 16.45 51,000
BAHL 31.54 32 31.4 31.89 163,500
BAHL-CFEB 32.13 0 0 32.45 0
BAHL-CJAN 31.81 0 0 32.13 0
BAHL-CMAR 32.53 0 0 32.85 0
BAHLTFC2 102.85 0 0 102.85 0
BAPL 9.75 10 10 10 500
BCL 36.01 37 36.5 36.5 2,500
BCML 26.6 27.84 27.84 27.84 500
BERG 23.04 23.75 22.75 23.09 78,000
BGL 5.42 5.68 5.25 5.46 34,000
BIPL 8.74 8.96 8.7 8.94 86,500
BOK 6.74 6.59 6.35 6.56 13,500
BOP 8.92 9.25 8.95 9.04 3,267,500
BPL 36.19 37.99 36.01 37.99 69,000
BROT 3.18 3.44 3.24 3.44 9,000
BRR 3 3.06 3.06 3.06 1,500
BUXL 12 11.25 11.04 11.04 4,500
BYCO 13.1 13.75 12.85 13.38 10,487,500
CCM 29.5 30.7 30.5 30.5 42,000
CEPB 24.38 25.1 24.39 24.76 100,500
CHBL 3.31 3.79 3.37 3.63 77,000
CHCC 46 46.95 45.78 46.52 49,000
CLCPS 1 1.19 1 1.13 194,000
CML 4.15 5.15 4.06 5.12 2,898,500
CPAL 14.17 15.17 15 15.17 72,500
CPL 255 257 255.01 256.99 500
CPPL 34.2 34.5 34.02 34.33 6,500
CSAP 34.63 34.9 34.52 34.66 14,000
CSIL 3.11 3.9 3.84 3.9 1,500
CSM 1.65 1.74 1.53 1.6 65,500
CSUML 5.41 5.75 5 5.68 88,000
CYAN 49.45 51.92 50.5 51.92 42,500
DADX 37.93 39.68 39.68 39.68 500
DAWH 30.76 30.9 30.25 30.59 149,000
DBCI 2.3 2.4 2.26 2.4 12,500
DCH 2.65 2.74 2.62 2.67 6,000
DCL 4.7 4.88 4.65 4.81 871,500
DEL 2.05 2.24 2.09 2.23 8,500
DFML 2.4 2.6 2.41 2.58 111,500
DFSM 3.04 3.26 3 3.19 72,000
DGKC 53.03 53.58 52.5 53.01 1,621,500
DGKC-CFEB 54.03 0 0 53.94 0
DGKC-CJAN 53.49 0 0 53.41 0
DGKC-CMAR 54.7 0 0 54.6 0
DGKC-JAN 53.48 53.85 52.9 53.34 695,500
DINT 31.36 32.92 29.8 32.9 20,500
DKTM 5.4 5.9 5.9 5.9 500
DMTM 8.88 8.7 8 8.33 2,500
DNCC 6.28 6.95 6.11 6.65 37,000
DOL 5.56 5.93 5.43 5.82 97,000
DSFL 2.13 2.24 2.04 2.2 132,500
DSIL 2.84 3.18 2.83 3.11 255,500
DSL 5.61 5.75 5.4 5.75 6,500
DWAE 3.2 3 2.9 2.9 1,500
DWSM 3.03 3.35 3 3.3 101,000
DYNO 17.37 17.43 17.11 17.3 8,500
ECOP 7.21 7.25 7.19 7.21 3,000
EFLTFC3 97.5701 0 0 97.5533 0
EFLTFC4 89 0 0 89 0
EFOODS 95.65 97.24 95.02 96.88 957,500
EFUG 80.9 82.75 80.9 82.75 1,000
EFUL 89.6 89.95 89 89.81 7,000
ELSM 50 52.39 47.51 47.51 2,500
EMCO 3.87 4.6 3.86 4.08 16,000
ENGRO 88.74 89.3 88.01 88.64 1,613,000
ENGRO-CFEB 90.41 0 0 90.19 0
ENGRO-CJAN 89.51 0 0 89.3 0
ENGRO-CMAR 91.53 0 0 91.3 0
ENGRO-JAN 89.51 89.83 88.56 89.26 551,000
ENGROTFC 100.5142 0 0 100.5142 0
ENGROTFC2 100.1886 0 0 100.1886 0
EPCL 9.28 9.5 9.16 9.42 359,000
ESBL 3.88 4 3.85 3.97 6,500
EWLA 8.14 8 8 8 2,000
EXIDE 276.37 270 270 270 100
FABL 10.14 10.24 10.11 10.15 19,000
FABLTFC 101.2498 0 0 101.2498 0
FANM 4.5 4.6 4.55 4.6 25,000
FASM 70.3 70 70 70 2,000
FATIMA 25.87 26.05 25.66 25.9 103,000
FCCL 6.21 6.34 6.16 6.27 1,717,000
FCSC 3.25 3.39 3.11 3.35 24,000
FDIBL 1.99 2 1.85 2 21,500
FECM 3.48 3.65 3.65 3.48 3,500
FECTC 32.33 32.89 32 32.5 43,000
FEM 2.98 3.1 3 3.07 16,000
FFBL 38.11 38.8 37.6 38.59 2,330,000
FFBL-CFEB 38.83 0 0 39.26 0
FFBL-CJAN 38.44 0 0 38.88 0
FFBL-CMAR 39.31 0 0 39.75 0
FFBL-JAN 38.46 39 38 38.82 618,500
FFC 116.07 117.5 115.5 117.16 2,742,100
FFC-CFEB 118.25 0 0 119.21 0
FFC-CJAN 117.08 0 0 118.04 0
FFC-CMAR 119.72 0 0 120.67 0
FFC-JAN 116.77 118.24 116.2 117.81 219,500
FFLM 2.7 2.7 2.69 2.7 7,500
FHAM 8.7 8.8 8.8 8.8 500
FLYNG 3.35 3.6 3.28 3.5 293,500
FPJM 2.8 3.09 2.8 3.09 10,500
FRCL 5.35 6.35 5.51 6.35 23,500
FRSM 25.5 26.4 26 26.4 4,500
FTSM 1.6 2.1 1.55 1.55 61,500
FUDLM 8.4 8.4 8.4 8.4 1,000
FZTM 245.17 257.42 257.42 257.42 100
GADT 115 115 115 115 5,500
GAIL 4.4 4.85 4.33 4.72 11,000
GAMON 4.73 5.49 5 5.05 33,500
GASF 5.92 6.1 6 6 63,000
GATI 135 137 137 137 500
GATM 19.25 19.75 19.25 19.5 8,500
GATMR 8.67 9 8.16 8.99 9,000
GFIL 5 4.53 4.52 4.52 5,000
GGL 16.63 17.4 16.5 17.03 56,000
GHGL 62.66 65.48 62 65.05 138,000
GHNI 12.26 12.9 12.9 12.9 500
GHNL 5.33 5.6 5.32 5.52 33,500
GLAXO 70.43 71.7 70 71.48 41,500
GRAYS 59.52 56.55 56.55 56.55 1,000
GRYL 4.7 4.1 4.1 4.1 3,500
GSPM 6.19 6.4 6.4 6.4 500
GTYR 25.68 26.05 25.75 25.97 5,500
GUSM 5.23 5.49 5.24 5.44 12,500
GWLC 8.65 9.15 8.99 9.04 2,500
HABSM 24.26 24.9 24.1 24.74 55,000
HADC 2.18 2.31 2.11 2.19 6,500
HAL 24.01 24.1 23.06 24.1 4,000
HBL 115.54 117.1 115.09 115.5 19,900
HCAR 18.23 19 18.2 18.85 75,500
HICL 12.22 12.25 12.1 12.13 9,500
HINO 79.81 81 80 81 2,000
HIRAT 13.31 13.6 13.6 13.6 2,500
HMB 18.05 18.4 18.3 18.3 3,500
HMIM 2.9 3.17 2.8 2.84 2,500
HSPI 21.5 21.5 21.5 21.5 4,000
HUBC 44.38 44.68 44.35 44.55 742,500
HUBC-CFEB 45.21 0 0 45.33 0
HUBC-CJAN 44.76 0 0 44.88 0
HUBC-CMAR 45.78 0 0 45.88 0
HUBC-JAN 44.84 44.95 44.95 44.95 1,000
HUMNL 25.4 26.67 24.13 24.13 21,500
HWQS 10.869 11.45 9.87 9.87 4,500
IBFL 46.31 47.99 47.99 47.99 500
IBLHL 25 25.34 25.34 25 8,000
ICCT 3.55 3.81 3.49 3.6 12,500
ICI 172.99 172.8 172.65 172.76 700
ICIBL 1.49 1.64 1.39 1.59 239,000
IDRT 10.2 10.95 10.95 10.95 500
IGIBL 2.06 2.13 2 2.07 293,500
IGIIL 88.48 91.5 88 90 7,500
INDU 262 265 263 264.05 39,700
INIL 31.1 31.3 30.8 31.15 64,000
INKL 6.3 6.7 5.3 6.7 3,500
ISL 12 12.15 12.01 12.15 1,500
ISTM 14.89 15.6 15.5 15.5 15,500
JDMT 41.85 43.85 43.85 41.85 500
JDWS 115.8 117.95 117.95 117.95 500
JGICL 66.91 67.5 67.5 67.5 500
JKSM 24.85 25.9 25.9 24.85 500
JLICL 89.67 90.25 88.75 90.25 1,500
JOPP 12 12.25 11.51 12.25 4,000
JPGL 1.69 1.77 1.63 1.73 146,000
JSBL 5.49 5.93 5.41 5.85 1,821,500
JSCL 14.77 15.77 14.6 15.76 17,320,000
JSGCL 36.25 36.49 36 36.32 10,500
JSGF 8.7 8.65 8.6 8.6 25,000
JSIL 7.34 7.87 7.25 7.75 1,134,000
JSVFL 8.85 8.9 8.61 8.9 31,500
KAPCO 49.22 49.5 48.65 49.5 17,500
KASBB 2.15 2.36 2.25 2.26 201,000
KASBSL 4.94 5.18 5.18 5.18 500
KCL 7 7.65 7.5 7.51 21,000
KESC 5.44 5.63 5.35 5.48 2,330,500
KESCTFC1 100 0 0 100 0
KESCTFC2 100 0 0 100 0
KESCTFC3 100 0 0 100 0
KML 10.25 11.25 10 11.07 102,000
KOHC 67.84 69.2 67.6 68.7 22,500
KOHE 22.3 22.65 22.4 22.4 51,500
KOHP 3.1 3.5 3.1 3.3 1,500
KOHTM 16 15.25 15 15.25 2,000
KOIL 2.55 3.44 2.35 3.26 875,000
KOSM 7.5 8.45 8.2 8.4 3,000
KSBP 61.1 64.14 64.14 61.1 500
KSE30-JAN 13454.5 13554 13506 13551 1,005
KTML 13.53 14.53 13.5 14.53 218,500
LINDE 145.82 149 140 144.25 2,600
LOTPTA 7.05 7.15 6.94 7.05 1,459,500
LOTPTA-JAN 7.11 7.2 7.01 7.08 199,500
LPCL 4.7 4.78 4.61 4.75 597,500
LPGL 20.52 21.54 21.4 21.54 1,000
LUCK 147.24 149 147.1 147.58 850,000
LUCK-CFEB 150.01 0 0 150.16 0
LUCK-CJAN 148.52 0 0 148.69 0
LUCK-CMAR 151.87 0 0 152 0
LUCK-JAN 147.99 149 146.15 147.58 142,000
MACFL 23.48 23.83 23 23.73 29,000
MARI 95.3 95.69 94.5 95.2 21,000
MBF 10.9 11.2 11 11.2 18,000
MCB 204.34 206.7 204.51 206.19 238,100
MCB-CFEB 208.18 0 0 209.79 0
MCB-CJAN 206.11 0 0 207.73 0
MCB-CMAR 210.76 0 0 212.37 0
MCB-JAN 206.15 208 206.2 207.76 33,000
MDTL 4.56 4.95 4.75 4.95 1,000
MFFL 347.72 365.1 358 364.99 2,300
MFTM 2.6 3 2.99 2.99 1,500
MLCF 14.05 14.5 13.73 14.36 7,192,500
MODAM 1.5 1.7 1.3 1.37 406,000
MQTM 18.41 18.69 18 18.34 65,500
MRNS 45.84 46 46 46 2,500
MTIL 2.01 2.49 2.1 2.49 1,500
MTL 567.78 570 565 569.15 4,900
MUBT 2.1 2.2 2.05 2.08 7,500
MWMP 3.22 3.7 3.46 3.46 2,000
MZSM 4.5 4.69 4.35 4.69 37,000
NATF 283.52 295.75 280 288.48 107,900
NBP 48.17 48.6 47.85 48.33 1,182,000
NBP-CFEB 49.08 0 0 49.17 0
NBP-CJAN 48.59 0 0 48.69 0
NBP-CMAR 49.68 0 0 49.78 0
NBP-JAN 48.55 49 48.01 48.77 364,000
NCL 33.4 35.07 32.85 34.92 3,666,500
NCPL 20.46 20.48 20.2 20.41 1,345,000
NESTLE 4600 4600 4600 4600 20
NETSOL 17.96 18.8 17.75 18.25 164,000
NEXT 4.5 4.75 4.61 4.65 2,500
NIB 2.43 2.48 2.38 2.46 1,541,500
NIBTFC 100.2602 0 0 100.2602 0
NICL 3.45 3.79 3.5 3.58 92,000
NML 62.55 63 61.52 62.48 1,321,000
NML-CFEB 63.73 0 0 63.57 0
NML-CJAN 63.09 0 0 62.95 0
NML-CMAR 64.52 0 0 64.35 0
NML-JAN 63.01 63.3 62 62.89 273,500
NOPK 50.58 52.85 52.85 52.85 500
NOPKNV 36.5 38.32 36 38.32 45,000
NPL 18.65 19.05 18.6 19.01 62,500
NRL 207.01 208.99 207 208.87 13,500
NSB10Y1 100 0 0 100 0
NSB3Y1 94 0 0 94 0
OGDC 187.4 189.45 186.01 188.68 94,100
OGDC-CFEB 190.92 0 0 191.98 0
OGDC-CJAN 189.03 0 0 190.09 0
OGDC-CMAR 193.29 0 0 194.33 0
OGDC-JAN 188 189.9 187.1 189.7 7,000
OLSM 4.11 4.7 4.4 4.7 14,500
PACE 2.72 2.89 2.71 2.77 254,000
PAEL 9.36 9.67 9.13 9.49 707,000
PAKL 4.66 3.67 3.67 3.67 500
PAKRI 23.86 24.39 23.81 24.13 296,000
PASL 2.5 2.8 2.51 2.71 304,500
PCAL 47 46.5 46.5 46.5 4,000
PEF 9.1 9.1 9.02 9.1 7,000
PGCL 156 156 150 153 200
PGF 16.01 16 15.8 16 39,500
PIAA 3.82 4.03 3.71 3.81 2,432,500
PICT 190.76 200.29 187 200.29 15,300
PIF 7 7.05 6.85 7 295,500
PIOC 16.73 17.2 16.5 17.05 84,000
PKGI 16.45 15.89 15.45 15.45 1,500
PKGP 19.96 20.94 19.9 20.8 331,500
PKGS 142.08 143.01 140.01 142.41 23,500
PMI 1.89 1.99 1.89 1.99 2,500
PMPK 125 125.75 125.75 125 100
PMRS 90 93.9 93.9 93.9 500
PMTFC6 99.2973 0 0 99.2973 0
PNGRS 2.6 3.05 3 3 5,000
PNSC 33.09 34.67 33.44 34.52 40,500
POL 432.7 435 430.52 431.79 67,500
POL-CFEB 440.83 0 0 439.34 0
POL-CJAN 436.45 0 0 435.02 0
POL-CMAR 446.3 0 0 444.73 0
POL-JAN 435.54 436 432.5 433.88 39,500
POML 47.75 45.37 45.37 45.37 3,000
PPL 173.86 175 173.5 174.13 154,500
PPL-CFEB 177.13 0 0 177.17 0
PPL-CJAN 175.37 0 0 175.43 0
PPL-CMAR 179.33 0 0 179.35 0
PPL-JAN 175.08 176 175 175.65 16,000
PPP 38.3 39.5 39.25 39.5 1,500
PRL 65.72 66.6 64.25 65.68 39,500
PRWM 25.75 24.7 24.7 24.7 1,000
PSEL 160 153 152 152 3,200
PSMC 83.92 86.2 83 85.61 27,000
PSO 227.12 227.9 224.86 225.97 328,500
PSO-CFEB 231.39 0 0 229.92 0
PSO-CJAN 229.09 0 0 227.66 0
PSO-CMAR 234.26 0 0 232.74 0
PSO-JAN 228.42 228.6 225.35 227.33 66,500
PSYL 19.99 19.5 19.5 19.5 1,500
PTC 16.69 17 16.36 16.7 1,268,000
PTC-CFEB 17 0 0 16.99 0
PTC-CJAN 16.83 0 0 16.83 0
PTC-CMAR 17.21 0 0 17.2 0
PTC-JAN 16.9 17.1 16.8 16.85 169,000
QUICE 8.84 9.23 8.65 9.06 606,000
RAVT 2.53 3 2.56 2.96 104,500
REDCO 5.99 6.5 6.5 6.5 500
RICL 8.87 9 9 9 1,000
RUBY 3.86 4.4 4.4 3.86 1,500
SAIF 21.99 22.85 21.3 22.31 9,500
SANSM 21.8755 22.5 22.5 22.5 500
SAPL 351.5 345 345 345 100
SARC 8 8.78 8.49 8.5 3,000
SAZEW 19.31 19.85 19.3 19.5 3,000
SBL 3 3.14 2.84 2.85 938,000
SCBPL 12.3 12.3 12.3 12.3 3,000
SCLL 5.2 5.75 5.75 5.75 1,000
SCM 11.2 11.6 11.6 11.6 1,000
SEARL 41.89 42.2 41.11 41.87 73,000
SEL 27.15 27.5 26.25 26.25 6,500
SEPCO 1.41 1.46 1.39 1.43 262,000
SGML 12.54 12.51 12 12.45 45,500
SGPL 3.92 4 3.65 3.68 40,000
SHCI 3.5 3.63 2.85 3.63 11,000
SHEL 133.32 134.65 133.3 134.13 2,200
SHEZ 382 401.1 401.1 401.1 100
SHFA 40.75 40.75 40.75 40.75 500
SHSML 14.5 14.8 14.5 14.75 5,000
SIBL 3.75 4.38 4.38 4.38 500
SIEM 637.43 641.49 611.7 625 1,700
SILK 2.15 2.25 2.11 2.24 583,500
SING 20.5 19.51 19.5 19.5 1,500
SITC 169.27 170.5 168.11 169.13 8,600
SKFL 12.03 12.45 11.32 12.22 16,500
SLYT 27.11 28.46 25.76 28.17 228,000
SMBL 2.81 2.98 2.78 2.93 302,500
SMCPL 8.5 8.9 8.9 8.9 500
SMTM 5.98 6.65 5.9 6.55 51,000
SNBL 6.73 7 6.61 6.95 267,500
SNGP 22.25 22.6 22.21 22.57 180,000
SPL 12.36 12.6 11.6 12.31 662,000
SPLC 3.66 3.82 3.48 3.51 143,000
SRVI 162.8 165 163 164.98 300
SSGC 19.68 19.8 19.4 19.73 96,500
SSIC 7.4 7.45 7 7.45 1,000
SSML 8.24 8.85 8.16 8.63 208,500
STCL 8.5 9.5 8 9 21,000
STML 41.7 43.75 43.75 43.75 500
STPL 8.25 8.35 8.11 8.35 8,000
SUHJ 8 7 7 7 500
SUTM 160 155 155 155 500
TATM 29.98 30.1 29.25 29.8 14,500
TCLTC 31.35 32.29 31 32.29 6,500
TDIL 9.05 9.4 8.45 8.87 10,000
TELE 2.32 2.44 2.29 2.38 167,500
TELETFC 89.93 0 0 89.93 0
TGL 19.77 20.3 19.5 19.83 930,500
THALL 102 103.4 101.6 102.55 3,500
TPL 7.73 8 7.49 7.61 181,000
TREET 62 63.25 60.2 63.23 2,500
TREI 2.49 2.63 2.4 2.6 11,000
TRG 5.34 5.53 5.15 5.34 1,583,500
TRIBL 2.01 2.2 2.1 2.18 17,000
TSBL 2.5 3.49 2.01 2.5 8,500
TSMF 1.95 1.84 1.6 1.84 6,000
TSML 85 84.99 84.5 84.99 1,000
TSPL 1.83 1.95 1.8 1.84 58,000
UBL 81.24 82 81 81.81 310,500
UBL-CFEB 82.77 0 0 83.24 0
UBL-CJAN 81.94 0 0 82.42 0
UBL-CMAR 83.79 0 0 84.26 0
UBL-JAN 81.72 82.4 81.5 82.3 11,500
UBLTFC4 102.0856 0 0 102.0856 0
ULEVER 10069.38 10200 10190 10199.33 300
UNIC 13.35 13.69 13.69 13.35 2,000
UPFL 4400 4180 4180 4180 20
WAHN 41.66 42.45 42 42.3 2,500
WTCL 2.74 2.85 2.65 2.72 229,500
WTL 2.25 2.39 2.2 2.31 1,227,500
YOUW 4.15 4.75 4.2 4.53 131,000
ZAHT 14.1 15 15 15 500
ZTL 5.5 6.1 5.25 6.09 13,000
Total Turnover 106,153,645

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