This study examines the calendar effects in five major ASEAN countries, namely Malaysia, Singapore, Thailand, Indonesia and the Philippines. Using the daily stock return series for data set ranging from 2011 to 2015, the study employs the OLS method to investigate the presence of month-of-the-year and dayof-the-week effects. The results suggest the presence of certain trend in the stock returns for all five countries. January effect was found in the Philippines while Malaysia and Singapore demonstrate the evidence that is consistent with the Monday effect. The presence of calendar effects in each country, though violates the very basic premise of EMH, cannot be construed as an avenue to exploit the market for possible abnormal profit since the transaction cost is not taken into consideration. Perhaps, the significant return will disappear once the transaction cost is incorporated in the study
The spectacular, sustained economic growth experienced in several East Asian countries leads to the question what Europe can learn from the East Asian economic model. Three advantages of the East Asian model stand out: small social transfers, low taxation and free labor markets. The superiority of such policies is now widely accepted, and the question is how they can be emulated by Europe. Traditionally, the EU has taken a top-down approach to decision making and policy implementation, which is characteristic of the Lisbon Agenda, which has not made much progress. However, after the powers of the European Commission have been weakened in the last few years competition between national governments has spurred swift tax cuts and faster deregulation of labor markets. Bottom-up reforms arising from competition should be more readily accepted in the EU.
Authored by: Anders Aslund
Published in 2007
This paper uses NIESR’s global econometric model, NiGEM, to analyse possible adjustment paths for the US current account, if its current level of 6 per cent of GDP proves unsustainable. Nominal exchange rate shifts have only a transitory impact on current account balances, so any long-term improvement of the US current account balance would require a real and sustained reduction in domestic absorption, or a rise in foreign absorption. This could be effected through a sequence of exchange rate movements driven by a gradual rise in the risk premium on US assets. This would induce a permanent change in the real exchange rate, and would also reduce domestic absorption in the US due to a rise in real interest rates. Global policy coordination, which involved raising domestic demand in countries such as China and Japan, could speed the process of adjustment and ease the negative impact on the US economy.
Authored by: Ray Barrell, Dawn Holland, Ian Hurst
Published in 2007
Fasanara Capital Investment Outlook | February 1st 2015
1. Seismic Activity On The Rise
2. No Volatility No Gain
3. The Role Of Optionality
4. Crystal Ball
5. Deflation Is A Multi-Year Process
6. Three Big Trades for 2015
Abstract: In this paper, we examine the existence of the size effect in the Tunisian stock exchange (TSE) over
the period January 2008 to December 2013 and we test the relationship between size and January effects. The
findings reveal that there is a size effect in the TSE. However, we report that size and January effects are separate
anomalies. More specifically, we document that average returns are found to increase with decreases in size.
However, we find that small firms don’t significantly outperform large firms in January.
This study examines the calendar effects in five major ASEAN countries, namely Malaysia, Singapore, Thailand, Indonesia and the Philippines. Using the daily stock return series for data set ranging from 2011 to 2015, the study employs the OLS method to investigate the presence of month-of-the-year and dayof-the-week effects. The results suggest the presence of certain trend in the stock returns for all five countries. January effect was found in the Philippines while Malaysia and Singapore demonstrate the evidence that is consistent with the Monday effect. The presence of calendar effects in each country, though violates the very basic premise of EMH, cannot be construed as an avenue to exploit the market for possible abnormal profit since the transaction cost is not taken into consideration. Perhaps, the significant return will disappear once the transaction cost is incorporated in the study
The spectacular, sustained economic growth experienced in several East Asian countries leads to the question what Europe can learn from the East Asian economic model. Three advantages of the East Asian model stand out: small social transfers, low taxation and free labor markets. The superiority of such policies is now widely accepted, and the question is how they can be emulated by Europe. Traditionally, the EU has taken a top-down approach to decision making and policy implementation, which is characteristic of the Lisbon Agenda, which has not made much progress. However, after the powers of the European Commission have been weakened in the last few years competition between national governments has spurred swift tax cuts and faster deregulation of labor markets. Bottom-up reforms arising from competition should be more readily accepted in the EU.
Authored by: Anders Aslund
Published in 2007
This paper uses NIESR’s global econometric model, NiGEM, to analyse possible adjustment paths for the US current account, if its current level of 6 per cent of GDP proves unsustainable. Nominal exchange rate shifts have only a transitory impact on current account balances, so any long-term improvement of the US current account balance would require a real and sustained reduction in domestic absorption, or a rise in foreign absorption. This could be effected through a sequence of exchange rate movements driven by a gradual rise in the risk premium on US assets. This would induce a permanent change in the real exchange rate, and would also reduce domestic absorption in the US due to a rise in real interest rates. Global policy coordination, which involved raising domestic demand in countries such as China and Japan, could speed the process of adjustment and ease the negative impact on the US economy.
Authored by: Ray Barrell, Dawn Holland, Ian Hurst
Published in 2007
Fasanara Capital Investment Outlook | February 1st 2015
1. Seismic Activity On The Rise
2. No Volatility No Gain
3. The Role Of Optionality
4. Crystal Ball
5. Deflation Is A Multi-Year Process
6. Three Big Trades for 2015
Abstract: In this paper, we examine the existence of the size effect in the Tunisian stock exchange (TSE) over
the period January 2008 to December 2013 and we test the relationship between size and January effects. The
findings reveal that there is a size effect in the TSE. However, we report that size and January effects are separate
anomalies. More specifically, we document that average returns are found to increase with decreases in size.
However, we find that small firms don’t significantly outperform large firms in January.
US inflation and new Fed chair in focus this weekRichard Perry
All eyes will turn back to the US this week as newly appointed Fed chair Jerome Powell faces the Congressional committees for the first time this week. Along with crucial inflation data this will be key for markets. We take a look at the outlook for forex, equities and commodities.
Forecasting real economic growth by using the information contents of financial asset prices is one of the main themes in financial studies in recent years. Based on the micro-level stock data from Shenzhen Stock Exchange Market, the paper constructs a cross-section volatility measure using sample stocks, investigates the impact of stock price volatility on economic growth, and forecasts economic growth with stock prices volatility of different firm size. The empirical results indicate that stock price volatility is a good indicator for forecasting economic growth. The results also show that volatility of both large and small firms can be useful in forecasting economic growth. In addition, volatility of small firms can better predict economic growth.
While “Keep your eyes on the stars and your feet on the ground” sounds like a social media cliché, it was President Theodore Roosevelt who first uttered the phrase. It was good advice at the turn of the 20th century, and it still holds true today. As with catchphrases, economic cycles ebb and flow with time. Our 3rd Quarter Economic Update takes an interesting look at domestic and global economic health, and world markets.
In the past week European and global politics, strong US growth data, mixed global macro numbers and eurozone, Chinese and Indian central bank policy have eclipsed Trump-mania.
What is perhaps more remarkable is markets’ reasonably benign, “risk-on” reaction, bar the euro’s sell-off in the wake of today’s ECB policy meeting.
One interpretation is that markets have become complacent to the risks presented by President Trump’s constellation of pseudo-policies, surging nationalism in Europe, the UK’s uncertain economic future and continued capital outflows from China.
I have a somewhat different take, namely that markets are rightly discounting some of the more extreme and perverse scenarios, including:
Protectionist US policies coupled with higher US yields and a strong dollar collapsing tepid emerging market, and eventually global, economic growth;
The “no” vote in the Italian referendum leading to the economic collapse of the European Union’s third largest economy;
Surging European nationalism culminating in the collapse of the eurozone and/or European Union;
The British government opting to sacrifice growth in exchange for a hard version of Brexit and;
Capital outflows from China ultimately forcing policy-makers into accepting a Renminbi collapse and shocking a corporate sector with significant dollar-debt.
An attempt is made to explore the basic implications of differences in productivity growth rates in countries within a monetary union and tailor them to the case of the EU new member countries running up to the EMU. By using the mathematical model of Harrod-Balassa-Samuelson effect and linking productivity and relative price dynamics with monetary policy, it is shown that: 1) productivity growth in faster-growing countries (FGC) leads to either inflation there, or union-wide exchange rate appreciation, or both in certain proportions, depending on the monetary policy stance taken by the union, but does not cause increase in inflation in slower-growing countries (SGC) by itself, unless the union’s monetary authorities take pro-inflationary policy; 2) because of presence of FGC, the SGC do not become less competitive in the world, and can benefit from increased export of their goods to FGC, provided their labour markets are flexible enough; 3) the real challenge for SGC posed by FGC is not inflation, but rather loss of jobs and export revenues, if their labour markets are not flexible enough to adjust under tight union-wide monetary policy aimed at keeping the union-wide overall price level unchanged, or the labour productivity increase in FGC is not met by adequate improvement in labour productivity in SGC. It should be noted, however, that this ‘adequate improvement’ is enough to constitute only a fraction of the productivity growth in FGC.
Authored by: Nikolai Zoubanov
Published in 2003
US inflation and new Fed chair in focus this weekRichard Perry
All eyes will turn back to the US this week as newly appointed Fed chair Jerome Powell faces the Congressional committees for the first time this week. Along with crucial inflation data this will be key for markets. We take a look at the outlook for forex, equities and commodities.
Forecasting real economic growth by using the information contents of financial asset prices is one of the main themes in financial studies in recent years. Based on the micro-level stock data from Shenzhen Stock Exchange Market, the paper constructs a cross-section volatility measure using sample stocks, investigates the impact of stock price volatility on economic growth, and forecasts economic growth with stock prices volatility of different firm size. The empirical results indicate that stock price volatility is a good indicator for forecasting economic growth. The results also show that volatility of both large and small firms can be useful in forecasting economic growth. In addition, volatility of small firms can better predict economic growth.
While “Keep your eyes on the stars and your feet on the ground” sounds like a social media cliché, it was President Theodore Roosevelt who first uttered the phrase. It was good advice at the turn of the 20th century, and it still holds true today. As with catchphrases, economic cycles ebb and flow with time. Our 3rd Quarter Economic Update takes an interesting look at domestic and global economic health, and world markets.
In the past week European and global politics, strong US growth data, mixed global macro numbers and eurozone, Chinese and Indian central bank policy have eclipsed Trump-mania.
What is perhaps more remarkable is markets’ reasonably benign, “risk-on” reaction, bar the euro’s sell-off in the wake of today’s ECB policy meeting.
One interpretation is that markets have become complacent to the risks presented by President Trump’s constellation of pseudo-policies, surging nationalism in Europe, the UK’s uncertain economic future and continued capital outflows from China.
I have a somewhat different take, namely that markets are rightly discounting some of the more extreme and perverse scenarios, including:
Protectionist US policies coupled with higher US yields and a strong dollar collapsing tepid emerging market, and eventually global, economic growth;
The “no” vote in the Italian referendum leading to the economic collapse of the European Union’s third largest economy;
Surging European nationalism culminating in the collapse of the eurozone and/or European Union;
The British government opting to sacrifice growth in exchange for a hard version of Brexit and;
Capital outflows from China ultimately forcing policy-makers into accepting a Renminbi collapse and shocking a corporate sector with significant dollar-debt.
An attempt is made to explore the basic implications of differences in productivity growth rates in countries within a monetary union and tailor them to the case of the EU new member countries running up to the EMU. By using the mathematical model of Harrod-Balassa-Samuelson effect and linking productivity and relative price dynamics with monetary policy, it is shown that: 1) productivity growth in faster-growing countries (FGC) leads to either inflation there, or union-wide exchange rate appreciation, or both in certain proportions, depending on the monetary policy stance taken by the union, but does not cause increase in inflation in slower-growing countries (SGC) by itself, unless the union’s monetary authorities take pro-inflationary policy; 2) because of presence of FGC, the SGC do not become less competitive in the world, and can benefit from increased export of their goods to FGC, provided their labour markets are flexible enough; 3) the real challenge for SGC posed by FGC is not inflation, but rather loss of jobs and export revenues, if their labour markets are not flexible enough to adjust under tight union-wide monetary policy aimed at keeping the union-wide overall price level unchanged, or the labour productivity increase in FGC is not met by adequate improvement in labour productivity in SGC. It should be noted, however, that this ‘adequate improvement’ is enough to constitute only a fraction of the productivity growth in FGC.
Authored by: Nikolai Zoubanov
Published in 2003
Tangible market information and stock returns the nepalese evidence synopsisSudarshan Kadariya
This is a synopsis of the work done for the academic fulfillment purpose. The study have assumptions. The findings are suggested to related with its assumptions. I believe this work will help the financial / stock market in Nepal and it will also be accessible and share some features to the international financial market researchers.
Emerging markets such as India provide the investors with returns far greater
than those in developed markets; taking the average returns from the period 1995 to
2014 the returns are 4.714% to 3.276% of the developed market (US not included).
Majority of emerging markets commenced joining with the capital market of the
world, thus allowing huge inflow of capital which in turn paved the path for economic
growth. Even though the emerging markets provide high returns these may also be an
indication of a bubble formation. Detection of a bubble is a tedious task primarily due
to the fundamental value of the security being uncertain, the randomness of the
fundamentals of the market make detecting bubbles an arduous task. Ratios that
foretold the financial crisis of 2007- Market Capitalization to GDP (Buffet Indicator),
Price to Earnings Ratio (PE Ratio), Price to Book Value (PB Ratio), Tobin’s Q. Data
is collected from the 1999-2000 from various Indian indices such as NIFTY 50, NIFTY
NEXT 50, NIFTY BANK, NIFTY 500 S&P BSE SENSEX, S&P BSE 100. The paper
utilizes the ratios mentioned above to detect and back track various bubble episodes in
the Indian market; methodology used is the Philips et al (2015) right tailed unit test.
The paper is also inclined to take steps to mitigate the effects of bubble by amending
the financial policies and the monetary liquidity of the financial system.
Analysis Of Market Indices & Component Stocksabhipray
The Stock index is a barometer of nation’s economic health as market prices reflect expectation about the economy’s performance. However, it measures overall market sentiment through a set of stocks that are representative of the market and provides investors information regarding the average share price in the market. The indices of BSE and NSE reflect the overall market sentiments that is both SENSEX and NIFTY have shown up pattern when economy was good, both slowed down when there was a depression.
In this study, the emphasis is laid extensively towards analysing the component stocks of these indices. The study focuses on analysing the 30 component stocks (companies) that form the benchmark index of Bombay Stock Exchange, that is, Sensex.
These 30 stocks have been analysed on the basis of their key financials, their current market status, performance; and their future growth prospects.
On the basis of the study undertaken, the recommendations have been given for each of the 30 companies, as to whether the new investor should either buy the stock; or the existing investor should continue to hold the stock as an investment; or the investor should sell the stock or reduce his stake.
Also, few other analytical aspects, for instance, top holding by mutual funds & foreign institutional investors among the Sensex companies, Sensex reformation- the companies that had previously left or entered the market, Highest dividend paying companies of Sensex, Best performing Sensex Sectors & Sensex Performance over a period of time have also been given.
The observations are given at the end of this study. The observations would guide the investor with regards to the general mistakes that are made by the investors while making an investment in the equity markets.
Impact of Macroeconomic Factors on Share Price Index in Vietnam’s Stock Markettheijes
This paper investigates the macroeconomic determinants of share price in the stock market of Vietnam. The investigation was conducted by using a VECM econometric methodology and revealed thatVietnam’s stock market prices are chiefly determined by economic activities: market price index, inflation, money supply and exchange rate. An increase in market price index and money supply makes share price, while the increase of inflation (CPI) and exchange rate reduces share price. The study’s result showed that Vietnam’s stock market can be replaced by investors of foreign currency (USD), while the exchange rate tends to rise.
Exchange-Traded Funds
Zhiyuan Zhou, Yulin Wang,
Xiuqian Lin, Chen Chen
What are Exchange-Traded Funds?
Exchange-traded funds are investment securities traded in a similar manner to shares and stocks. Exchange-traded funds track the performance of share indices, commodities, assets, and bonds among others.
Cost-effective and tax efficient
ETF provide investors with an opportunity to speculate on the income they would receive at the end of their investment period.
ETF provide hedging platform
What are Exchange-Traded Funds?
Exchange-traded funds also provide diversification options for investors. Diversification ensures that investors can trade in separate investment securities simultaneously. The ability of exchange-traded funds to track the performance of various investment securities provides a platform for investors to diversify their investments.
When and why did these funds develop?
ETF was first occurred in 1990 in Toronto Stock Exchange.
The development of ETF due to the increased interest by the public to invest in funds that tracked a wide variety of asset classes.
After the successful launched in Canada, the United States launched its first ETF in 1993, and continue to become mature.
The full development of ETF means that more new funds will have to gain market share based on relatively narrow and more creative market.
How large is the Exchage-Traded Funds market?
ETF grew to 102 from 1993 to 2002. It grew at a rate of 10% every year.
In 2009, ETF reached a high of almost 1000 in less than 10 years.
The development of the high technology has driven the rise of the ETF.
The gradual growth of about 10% in the 1990’s rose to about 100% in the early 2000’s, and the funds reached 1400 in 2011.
ETF has developed rapidly in the North American stock market. There are nearly 3000 products in the market as of January 2018.
According to the data, more than 465 billion US dollars of new funds flowed into the US listed ETF as of the end of 2017.
Replace traditional mutual funds
Exchange-traded funds trade throughout the day, unlike mutual funds that trade at the end of the day.
Exchange-traded funds have low operational costs compared to mutual funds.
Exchange-traded funds do not require minimum investments
Exchange-traded funds enjoy tax efficiency and capital gains
Reference
https://zhuanlan.zhihu.com/p/38545877
Ben-David, I., Franzoni, F., & Moussawi, R. (2017). Exchange-traded funds. Annual Review of Financial Economics, 9, 169-189.
Da, Z., & Shive, S. (2018). Exchange traded funds and asset return correlations. European Financial Management, 24(1), 136-168.
Madhavan, A., & Sobczyk, A. (2016). Price dynamics and liquidity of exchange-traded funds. Journal of Investment Management, 14(2): 1–17
Meziani, A. S., & Meziani. (2016). Exchange-traded funds. Palgrave Macmillan.
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The stock market behavior on news and a comparison with s&p 500
1. 1
The Stock Market Behavior on News and a Comparison
with S&P 500
- Sudarshan Kadariya, New York
The Stock market is the very sensitive mechanism by its nature, various catalysts – tangible and
intangible information have been influencing the stock market performances. The tangible
information represents the information available in numbers like EPS, dividend, book value, cash
flow, etc and intangibles are news, media coverage, market behavior, investor behavior,
psychology, values, sentiments, over/under reactions, etc. Collectively, total returns can be
classified into two parts, tangible information contributes as tangible returns and intangible
information contributes as intangible returns.
These are the universal features of the stock market and have been equally affecting all stocks
and every market in the world. We, Nepse, even though perform in isolation due to almost entire
domestic investment/investors in comparison with other markets; the effects of news and media
coverage have the same. Most of the time, the good news helps to advance the indices and bad
news inversely reduce the markets indices.
If we would have international investors or our companies would have been investing in external
economies, the market performance of Nepse would be different and challenging. On the other
hands, all stakeholders including regulators must perform far better roles than what we have
now. The general understanding is that if we face the challenges then we would have
opportunities to handle and develop the measures to cope the challenges which is in line with the
proverb “Necessity is the mother of invention” i.e. the primary driving force for new inventions
is a need.
Even though the stock market operation has completed two decades in Nepal, we are just trying
to upgrade from the early stage of development. The advanced technologies have given
opportunities of information in our figure tips. The organized and coordinated efforts would take
the benefits of the changing world so that we would feature our market with the leading capital
markets in the world. The advancement is possible only if the regulators felt the need of the
improvements and only if they take a resinous lead. In such circumstances, we are working with
hopes and waiting for the major initiatives in the market. The fully automated online trading
2. 2
platform, if implemented successfully by next year it would be a milestone in the history of the
stock market in Nepal.
Disclosure of Research Findings:
We analyze the news coverage and the market reactions for the period January 13, 1994, to July
15, 2010, total 6029 days. The movements of the stock market indices are the replications of
investors and their investment behavior. Using the content analysis approach on news headings,
a total of 1683 news headings related to Nepalese Stock Exchange are collected from the
national daily newspaper “Kantipur” and classified them into ‘bad’ news, ‘good’ news and
‘informational’ news. There are total - 536 bad news, 734 good news, and 413 informational
news during the period. The summary details are presented in the table below.
Date Year
TTL
News
Bad
News
Good
News
Info.
News
Avg.
Index
Mid. July
Index
Friday, July 15, 1994 1994 30 1 6 23 209.41 209.41
Saturday, July 15, 1995 1995 33 8 3 22 195.48 195.48
Monday, July 15, 1996 1996 50 14 14 22 185.61 185.61
Tuesday, July 15, 1997 1997 51 26 10 15 192.50 192.50
Wednesday, July 15, 1998 1998 50 12 12 26 177.93 163.35
Friday, July 16, 1999 1999 62 9 22 31 190.14 216.92
Saturday, July 15, 2000 2000 75 16 38 21 288.81 360.70
Sunday, July 15, 2001 2001 84 25 39 20 354.57 348.43
Tuesday, July 16, 2002 2002 107 39 40 28 287.99 227.54
Wednesday, July 16, 2003 2003 97 34 44 19 216.20 204.86
Thursday, July 15, 2004 2004 74 30 32 12 213.45 222.04
Friday, July 15, 2005 2005 70 17 40 13 254.36 286.67
Sunday, July 16, 2006 2006 93 19 48 26 336.75 386.83
Monday, July 16, 2007 2007 172 48 105 19 535.39 683.95
Tuesday, July 15, 2008 2008 260 83 129 48 823.66 963.36
Wednesday, July 15, 2009 2009 182 73 76 33 856.23 749.10
Friday, July 16, 2010 2010 193 82 76 35 613.41 477.73
Total 1683 536 734 413
Percent 32% 44% 25%
(The author would like to encourage interested individual/group to continue this research to date)
Consistent with the earlier studies in other countries, we find that in Nepal too, there is a
negative effect of bad news, a positive effect of good news, and an inconsistent effect of
3. 3
informational news on stock returns. It shows the investors’ nature seems to be similar around
the world. However, it also shows that the bad news seems to have a slightly stronger impact in
the market comparison with good news.
Some studies on the topic for the reference are below:
Greater information uncertainty produce relatively higher expected returns following good news
and relatively lower expected returns following bad news (Zhang (2006))
Media coverage, public relations and other investor marketing activities could play an important
causal role in creating and sustaining speculative bubbles and fads among investors (Merton
(1987))
High levels of media pessimism robustly predict downward pressure on market prices. Second,
unusually high or low values of media pessimism forecast high market trading volume. Third,
low market returns lead to high media pessimism (Tetlock (2007))
High-media coverage stocks earn lower returns (Fang and Peress (2009))
Number of news stories and market activity are directly related (Mitchell and Mulherin (1994))
Market timing is an important aspect of real financing decisions (Baker and Wurgler (2002))
There is correlation of asset returns with the overreaction of prices to news, price bubbles, and
expectations (De Long, et al (1990))
In a different analysis, it shows considerable differences in the behavior of Nepali stock market
as compared to Standard & Poor’s 500 Index (S&P 500). S&P 500 is a stock market index of
largest 500 US-listed companies by market capitalization. It is considered as one of the most
important market indexes in the United States.
The graph below shows the spread (the range) of market indices for the period 1994 July to 2015
July. Stock indices are shown in y-axis and time (year) in x-axis. The spikes in the figure
indicate the range (minimum to maximum) of the indices each year.
Yearly Spread of NEPSE
0
200
400
600
800
1000
1200
1400
1990 1995 2000 2005 2010 2015 2020
4. 4
Source: NEPSE annual & monthly reports 1994 to 2015
Yearly Spread of S&P 500
Source: www.cboe.com/.../dailypricehistory.xls
In 2007 followed by 2008 are the largest index spreads in Nepse with upward slopping whereas
S&P 500 index in 2008 has the largest index spread but it is a downward slopping corresponding
to the financial crisis in the USA which was continued till 2009. The Nepalese financial market
swung upward and reached its highest level of the period in 2008 while S&P 500 index was
diving into historic fall. By this comparison, it can be seen that the behavior of the Nepalese
stock market can be considered quite different from the S&P 500. It also shows that the bull
sentiments in Nepse have short lives than S&P 500 which is continuously maintaining its bull
sentiments after 2009. Thus, it would appear that the Nepse can be analyzed by completely
isolating from the other financial markets in the world.
The differences in behavior of the Nepalese stock market as compared to the S&P 500 can be of
considerable interest to the investors who look for dissimilar financial markets, especially if the
market index exhibit different return patterns, around the world since the same would help in risk
reduction through global diversification. Also, it would be a great opportunity for Non-Resident
Nepalese living in around the globe.
(*The author is a Gold medalist from TU for the courses of M. Phil in Management with
specialization in Finance in 2012. Now, he is working as a Assistant Manager - Finance in a
consulting firm in New York. The opinion presented in the article is personal. You can reach to
the author at su.kadariya@gmail.com)
0.00
500.00
1000.00
1500.00
2000.00
2500.00
1990 1995 2000 2005 2010 2015 2020
5. 5
Graphical Presentation on News Counts
0
200
400
600
800
1000
1200
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
Index
Average & Mid. July NEPSE Index with News Categories
TTL
News
Bad
News
Good
News
Info.
News
Avg.
Index
Mid. July
Index
0
50
100
150
200
250
300
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
NewsCounts
News Categories by Year
TTL
News
Bad
News
Good
News
Info.
News
0
500
1000
1500
2000
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
Index
NEPSE Index by Year
Mid. July
Index
Avg.
Index