Tuesday, July 4, 2023

Information Board - Security Analysis and Portfolio Management

 




Why global equities are poised for “fat and flat” returns

Published on03 JUL 2023

https://www.goldmansachs.com/intelligence/podcasts/episodes/07-03-23-oppenheimer.html


Emerging stock markets projected to overtake the US by 2030 - Goldman Sachs Research.

Published on22 JUN 2023


The stock market capitalization of emerging markets is forecast to eclipse that of the U.S. and other developed markets in the coming years. 


The projection is that EMs’ share of the global equity market will rise from around 27% currently to 35% in 2030, 47% in 2050, and 55% in 2075. India is expected to have the largest increase in global market cap share — from a little under 3% in 2022 to 8% in 2050, and 12% in 2075 — reflecting a favorable demographic outlook and rapid growth in GDP per capita. China’s share will rise from 10% to 15% by 2050 but, amid a demographic-led slowdown in potential growth, it’s expected to then decline to around 13% by 2075.  

https://www.goldmansachs.com/intelligence/pages/emerging-stock-markets-projected-to-overtake-the-us-by-2030.html

What’s next for U.S. Treasuries
Published on02 JUN 2023
https://www.goldmansachs.com/intelligence/podcasts/episodes/whats-next-for-us-treasury-issuance.html

Tuesday, August 23, 2022

Country/Economy Analysis - Fundamental Analysis -Topic 8

In top down approach, in global investing, first countries wherein investments will be made will be determined. Country/economic analysis is used for this purpose. No doubt to forecast financial variables for discounted cash flow analysis, one has to make analysis of the economy. But that is a long term forecast of the economy. In textbooks when economy analysis is discussed, the focus mainly is on short term conditions that help to take short-term investment decisions.

The Key Variables of Macroeconomy

1. Growth rate of gross domestic product



1. Growth rate of gross domestic product

GDP of India for 2021-22 = Nominal GDP or GDP at Current Prices in the year 2021-22 is estimated to attain a level of ₹ 236.65 lakh crore, as against ₹ 198.01 lakh crore in 2020-21, showing a growth rate of 19.5 percent.
https://pib.gov.in/PressReleasePage.aspx?PRID=1829784

The higher the growth rate of GDP, other things being equal, the more favorable it is for the stock market.



January 1971
Expectations, Money, and the Stock Market
by Michael W. Keran

In recent years, increasing attention has been given to analyzing influences of expectations and monetary actions on the course of economic activity. This article examines the response of time general level of stock market prices (measured by the quarterly average of the Standard and Poor’s 500 Daily Index) to these two influences.
Economic Research
 Research Division of the St. Louis Fed.

Referred to By Prasanna Chandra, in book Investment Analysis and Portfolio Management
https://research.stlouisfed.org/publications/review/1971/01/01/expectations-money-and-the-stock-market/

https://www.icicidirect.com/knowledge-center/learn-hub/equity/chapter-10-economics-for-stock-market32

http://ijrmbs.com/vol6issue3/emmanuel2.pdf

India - Economic Analysis


https://economictimes.indiatimes.com/markets/stocks/news/budget-sets-path-for-investment-led-growth/articleshow/89341285.cms

https://www.indiabudget.gov.in/economicsurvey/doc/echapter.pdf

https://am.jpmorgan.com/content/dam/jpm-am-aem/global/en/insights/portfolio-insights/ltcma/ltcma-full-report.pdf

https://www2.deloitte.com/us/en/insights/economy/asia-pacific/india-economic-outlook.html

https://www.thecasecentre.org/products/view?id=153551

https://pib.gov.in/PressReleasePage.aspx?PRID=1793826

https://www.india.gov.in/spotlight/union-budget-fy-2022-2023


https://www.focus-economics.com/countries/india

https://www.goodreturns.in/personal-finance/investment/these-9-sectors-in-india-are-expected-to-boom-in-2022-1235395.html


USA - Economic Analysis

16 June 2022
United States Economic Forecast Q2 2022
The forecast examines the possibility of a recession hitting the US economy as the country continues to wade through disruptions caused by the war, COVID-19, and supply chain crisis.
Daniel Bachman
United States
https://www2.deloitte.com/us/en/insights/economy/us-economic-forecast/united-states-outlook-analysis.html

https://www.swissre.com/institute/research/sigma-research/Economic-Outlook/us-economic-outlook-june-2022.html


World Economy

https://www.mckinsey.com/business-functions/strategy-and-corporate-finance/our-insights/economic-conditions-outlook-2022

https://www.fitchratings.com/research/sovereigns/global-economic-outlook-june-2022-13-06-2022



J.P. Morgan - 2022 Long-Term Capital Market Assumptions Full Report 

Our own multi-asset investment approach relies heavily on our LTCMAs: The assumptions form a critical foundation of our framework for designing portfolios. 




















Ud 24.8.2022,  1.7.2022
Pub. 18.12.2007

Thursday, June 30, 2022

CFA Study Guide

I am able to make some quick posts in the cfa study guide blog. I am presently posting on reading 60 which deals with valuation using DDM and Multiples. The prescribed reading for this session is Chapter 11 from Reilly brown. The refresher points on that chapter are in this blog. http://nrao-sapm-handbook.blogspot.com/2007/12/r-b-ch1-points-to-refresh.html The posts for this reading start with the following post in CFA Level 1 study material blog. http://nrao-cfal1.blogspot.com/2008/03/reading-60-introduction-to-security.html


Free CFA Notes

Ud. 1.7.2022
pub. 14.3.2008
















Saturday, January 31, 2009

Investment Banking, Analysis and Portfolio Management Concepts Directory

I am developing a directory of concepts on knol platform. Prsently I am setting up the framework or structure. I shall create individual knols for each concept over a period of time.


Investment Banking, Analysis and Portfolio Management Concepts Directory (Ua to Uz)
http://knol.google.com/k/narayana-rao-kvss/copy-of-investment-banking-analysis-and/2utb2lsm2k7a/835

Thursday, January 22, 2009

Currently Teaching the Subject Investment Analysis and Portfolio Management

My teaching of the subject started once again on 15th January 2009. I shall update the revision point chapters and other related posts more frequently for the next three months.

I am now writing more actively on knol.google.com

On knol I am trying to develop a management knowledge revision book.

My bio page on knol.

http://knol.google.com/k/narayana-rao-kvss/narayana-rao-kvss/2utb2lsm2k7a/1#

Sunday, September 28, 2008

Collaborative Open Source Financial Analysis.

The Goldman Sachs Forensic Analysis
by Reggie Middleton

http://www.safehaven.com/article-10836.htm

Reggie Middleton
http://boombustblog.com/

Reggie Middleton is the personification of the freethinking maverick--the penultimate nonconformist as it applies to macro strategies, investment, and analysis. He uses his background and knowledge in new media, distributed computing, risk management, insurance, financial engineering, real estate, corporate valuation, and financial analysis to pursue, analyze, and capitalize on global macroeconomic opportunities.

Finding most available research lacking, both in quality and quantity, Mr. Middleton assembled his own talented research staff. As forensic research is a lynchpin for his own investing, "to actually put food on the table," he stands behind it as doing what it is supposed to do - illustrate, elucidate and educate.

He does not sell advice or research. He is an entrepreneur who exists outside of mainstream corporate America and Wall Street. This allows him the freedom to do things that many cannot--perform without conflicts of interest and corporate politics. He prides himself on developing some of the highest quality, actionable research available - regardless of price. He welcomes any and all to peruse his blog of freely available analysis, opinion and participatory social media; use his custom tools, download files, interact with the community and make critical comparisons from a results orientated perspective. Reggie believes ideas and implementations are improved and fine-tuned when bounced off of the collective intellect of the many, in lieu of that of the few - in essence, a form of collaborative open source financial analysis.

Visit his blog Boom Bust Blog.

Friday, September 19, 2008

Lead Research analysts - Required

One of the leading broking companies which have presence in 8
cities and total 13 branches is looking for Lead Research analysts to be
based at Mumbai for multiple sectors, namely Banking, IT, Pharma, FMCG,
and Telecom

Job Description:

* Analyst will be responsible for Complete Equity Research
Analysis, from the ideation to the finalization of the report writing to
the presentation to the clients. To be successful in the role, skills
required would be: in-depth understanding of the sectors, Fundamental
Analysis, Financial Analysis, Stock Valuation, and Financial Modeling,
writing Reports & Presentation, Articulating investment ideas to
clients.
* In-depth knowledge of banking or IT or Pharma or FMCG sector.
* Preference for candidates with knowledge of multiple sectors

Experience: CA / MBA with minimum 6 yrs and more experience in tracking
one of the above sectors.

Reporting: HOD

Those interested can send their profiles to sheetal.s@vitasta. net or by post to


Sheetal Salvi I Sr. Executive - HCS I
Vitasta Consulting Pvt Ltd I
|311, Ganatra Estate, Khopat,
Thane West,Maharashtra,
India 400601|Tel:91- 22-41021206
Mobile : 9322133424 |
Email : sheetal.s@vitasta. net

Tuesday, April 29, 2008

Interviews with investment professionals on their job

Interview with a stock analyst

http://www.e-shadow.com/interview-with-an-edward-jones-stock-analyst/

An interesting question

What education or skills are need to do this?

A degree in finance or accounting would be ideal. Typically you’ll need high grade point averages too. Then you’re required at my firm, not at all firms but at my firm, to get your CFA which stands for Chartered Financial Analyst before you can start to cover your own company. You don’t have to have it before starting but you have to have it before you start following your own companies. It’s a series of three tests. Typically, you have to pass at least one or two of them before you have much of a chance of getting hired.

So the biggest thing is, an accounting or a finance background and ability to pass the CFA exam. I’d say, you’ve got to have some analytical skills, you’ve got to be good with numbers. You’re dealing with numbers all day long but then at the same time, you’ve got to be able to communicate your message to our financial advisors, so you’ve also got to have some communication skills.

Interview with an investment consultant

http://www.e-shadow.com/interview-with-a-td-ameritrade-investment-consultant/

Monday, March 17, 2008

Google books - Quantitative Investment Analysis

Quantitative Equity Portfolio Management: An Active Approach to Portfolio ... By Ludwig B. Chincarini, Daehwan Kim

http://books.google.co.in/books?id=CpPEYzvonCEC&printsec=frontcover&dq=ludwig+chincarini&sig=oESxfJkaZIXbAYciIOghN-aGeeU

Monday, February 11, 2008

Books on Forecasting

1. Andrew Flight, Cash Flow Forecasting, Butterworth-Heinemann, Burlington, Ma, USA, 2006 (NITIE Lib access No. 658.15244)

Friday, February 8, 2008

Monetary Policy and Equity Returns in India

Rajiv Kalra, Narayana Rao, and Wolf examined the effect of monetary policy on equity returns in various countries. India is one of the countries.

Monetary Policy and Equity Returns: Evidence from Developing Countries
Rajiv Kalra, Narayana Rao KVSS and Jason Wolf,EUROPEAN JOURNAL OF ECONOMICS, FINANCE
AND ADMINISTRATIVE SCIENCES,April, 2007, pp. 166-181


The paper is available in and can be downloaded from
http://www.eurojournals.com/ejefas7.pdf

Inflation and Equity Returns in India

Narayana Rao and Bhole examined the relation between inflation returns and equity returns in India. Based on the regression between monthly returns on RBI index and monthly inflation based on WPI they came to the conclusion that the relation was negative.

Subsequently Joshi examined the relationship between anticipated and unanticipated inflation and equity returns in India.

Wednesday, February 6, 2008

Consumer Confidence Index (CCI) - India

The ET-TNS Consumer Confidence Index (CCI) has increased by 5% to 128 points in the June ’07 ended quarter, compared to the March quarter.

The CCI is divided into two components — the present situation index (PSI) and future expectation index (FEI).

In the current round of the survey, the PSI has increased by 7%, while FEI has risen by 3% over the previous round. Both PSI and FEI measure consumer confidence according to three parameters, namely business conditions, jobs and income.

19 Jul, 2007
http://economictimes.indiatimes.com/Opinion/Todays_Features/ET-TNS_Consumer_Confidence_Index_Survey/Nothings_gonna_stop_us_now/articleshow/2216626.cms
----------------

The ET-TNS Consumer Confidence Index (CCI) - Method of Calculation

The ET-TNS Consumer Confidence Index (CCI), India’s first comprehensive measure of consumer confidence, was launched in December ’02.

The ET-TNS CCI is made up of two components: The Present Situation Index (how things stand currently compared to six months ago) and the Future Expectations Index (how things will be six months hence).

Each component is, in turn, based on three dimensions — general business conditions in the respondent’s line of work, availability of jobs and household income. For each dimension, we calculated the ‘relative value’, which is simply the difference between the percentages of positive and negative responses, plus the normalisation factor of hundred.

The CCI and its two components are the arithmetic averages of the relative values of the dimensions. A CCI at 100 implies a ‘neutral’ consumer. A value below 100, in theory, implies prevalence of pessimism and a value above 100 means there are more optimists than pessimists.

The CCI’s movement acts as a leading indicator of consumer behaviour and hence, of the overall business cycle. International experience shows that the CCI essentially indicates the direction of movement, rather than the actual quantum of consumer spending.

http://economictimes.indiatimes.com/Opinion/Todays_Features/ET-TNS_Consumer_Confidence_Index_Survey/How_we_did_it/articleshow/386977.cms

Business Confidence Index Analysis in India

29 Jan, 2008

The RBI’s business expectation index for January-March 2008 declined 2.5 percentage points over the previous quarter from 50.2% to 47.7%. This is the lowest that the outlook on the business situation has touched in the past six quarters. Even the overall industrial outlook survey has dipped. These indices have dipped lower than the current levels only during 2002-03.

The indices are compiled after surveying over 1,000 corporates. The survey based on net response (difference between those who were optimistic and those who were pessimistic) on the ‘quarter ahead’ expectation about the industrial performance was less favourable for most parameters. This decline, according to RBI, was on account of lower net responses or lesser optimism for major parameters of the survey such as the overall business situation, availability of finance, production, order books,capacity utilisation, employment, exports and profit margins over the previous quarter.


http://economictimes.indiatimes.com/Indicators/Business_confidence_dips_on_global_recession_fears/articleshow/2739332.cms


Research paper on methodology for constructing index by NCAER-_india
http://www.oecd.org/dataoecd/11/51/33653943.pdf

India - Economic Indicator Analysis

Articles and papers

http://www.oecd.org/dataoecd/54/48/34898082.pdf


Chitre, V. S.( 1982), " Growth Cycles in the Indian Economy ," Artha Vijnana, 24, 293- 450.

___ (1991), " Fluctuations in Agricultural Income , Public Sector Investment, World
Economic Activity and Business Cycles in India ", in H. Osada and D. Hiratsuka (eds.),

Business Cycles in asia , Institute of Developing Economies, Tokyo.
___(2001)," Indicators of Business Recessions and Revivals in India :1951-82", Indian
Economic Review , Vol. XXXVI, no. 1 ,2001.

Dua, P. and A. Banerji ( 1991 ) , '' An Index of Coincident Economic Indicators for the
Indian Economy", Journal of Quantitative Economics, Vol. 15, No. 2

____(2001) ,"An Indicator Approach to Business and Growth Rate Cycles : The case of
India ", Indian Economic Review, Vol. 36, No. 1 .

Hatekar, N. (1994), "Historical Behaviour of the Business Cycles in India: Some Stylized Facts for 1951-85", Journal of Indian School of Political Economy, Vol.6, No. 4.

Mall O.P. (1991),"Composite Index of Leading Indicators for Business Cycles in India ", RBI Occasional Papers , Vol 20, no. 3.

Nakamura J. (1991), "Fluctuations of Indian Economy, " in H. Osada and D. Hiratsuka
(eds.), Business Cycles in Asia , Institute of Developing Economies, Tokyo .

Reserve Bank of India (2002b), Report of the Working Group on Economic Indicators.

Jaya Mohanty, Bhupal Singh and Rajeev Jain (2003), Business Cycles and Leading
Indicators of Industrial Activity in India.

------------------------
Chitre presented evidence of synchronous movements in respect of a large number key economic processes including non-agricultural NNP, industrial production, capital formation, money stock, bank credit, etc. Chitre (1982) identified 15 indicators of growth cycles in India and constructed diffusion index and a composite index of these indicators and on the basis of these, characterized the Indian economy as having passed through five growth cycles in the overall economic activity during the period from 1951 to 1975.


Dua and Banerji (1999) have used the NBER approach to determine the dates of Indian business cycles and growth rate cycles and have reported six business cycle recessions in the Indian economy:


Business cycle recessions (India)

􀂾 November 1964 to November 1965
􀂾 April 1966 to April 1967
􀂾 June 1972 to May 1973
􀂾 April 1979 to March 1980
􀂾 March 1991 to September 1991
􀂾 May 1996 to February 1997

In a subsequent paper (2001), they have identified leading indicators and constructed a CLI index designed to anticipate business cycle and growth rate cycle upturns and downturns. However, the component series are not published in the above study.


Mall (1999) studied the cyclical behaviour of output variables such as real GDP,
non-agricultural GDP, GDP from manufacturing, trade; IIP, index of sales of private
corporate sector, etc. and has concluded that non-agricultural GDP can be taken as a
reference series for tracking business cycles in India. Using spectral analysis method, he has constructed a composite index of leading indicators to forecast cyclical movements in IIP from manufacturing sector.

A Working Group of the Reserve Bank of India (2002) on economic Indicators in
2001 examined the information base for the analysis of business cycles and explored the leading indicators approach for study of business cycles and forecasting. The working group seems to have taken the recommendation of Mall (1999) and used IIP as the reference series of non-agricultural GDP. Considering the IIP as the reference series, six series viz., Narrow money (M1), Non-food credit, WPI(raw materials), Production of coal and aluminium, and rail good traffic originated have been identified as leading indicators and the composite index has been constructed based on principal component analysis.

Chitre (2001) studied the business cycles in India for the period 1951-1982 and,
presented a selected list of leading, coincident and lagging indicators and the turning points and the diffusion index for the indices. Some of the
selected leading indicators are production of iron and aluminum, electricity generation, cheque clearances, etc.



Mohanty et al (2003) attempted dating of business cycles in India based on Bry-Boschan procedure and have identified 13 growth cycles of varying duration from 1970-71 to 2001-02. They have reported that average duration of recessions is higher at 16 months as compared to expansions with average duration of 12 months and the average of the cycles is 27 months.

Saturday, February 2, 2008

Friday, February 1, 2008

Algorithmic Trading - A report

http://www.aitegroup.com/reports/200610311.php

A New Report from Aite Group

Algorithmic Trading 2006: More Bells and Whistles

Algorithmic trading has hit the mainstream in the U.S. equities market. For operational efficiency as well as a continued drive for capturing alpha, algorithmic trading is increasingly becoming the execution tool of choice for both the sell-side and the buy-side traders. Aite Group estimates that at the end of 2006, the share of algorithmic trading will approach 33% of the total equities trading volume. By the end of 2010, Aite Group estimates that approximately 53% of all equities trading will be done through algorithmic trading.

Algorithmic trading continues to grow, according to a new Aite Group report. The adoption of first-generation algorithms appears to be nearing its end in the U.S. market. Instead, most brokers have moved on to develop more sophisticated algorithms that are capable of supporting portfolio trading, adapting to real-time changing market conditions, and seeking darks pools of liquidity.

This report provides an update on the state of the algorithmic trading market and focuses on identifying new market trends and highlighting market challenges. The report also provides an estimated adoption rate for algorithmic trading services in the U.S. securities industry.

According to Brad Bailey, a Senior Analyst at Aite Group and co-author of the report, "The role of the buy-side trader has become very complicated. There are so many routes to getting trades done and finding liquidity; the landscape for trading is evolving quickly, as are algorithms."

Job Opportunities

The increasing use of algorithmic trading will benefit those with the right combination of IT skills, trading knowledge and expertise with quantitative trading strategies.

Especially in demand are those with quantitative research skills, as well as individuals who can bring their own trading strategies to hedge funds and bulge bracket firms, according to Lou Ricci, president of the Hagan-Ricci Group, a New York City firm specializing in front office hiring in IT, trading and quantitative research.

"On the lower end, the ideal job candidate in the algorithmic trading arena is the person with the right programming skills. At the top of the game are the Ph.D. types who can build the algorithms, as well as traders who can bring together the strategy and IT side of it," Ricci says.

Annual pay ranges from $250,000 to $1 million or more, he adds, depending on skill sets, job experience and rank.

Job opportunities are also increasing abroad, as firms in Europe and Asia adopt algorithmic trading models.Large brokers have already moved into major European markets and, to a lesser degree, Asian markets to provide their various automated trading strategies to the global buy-side clients.

http://news.efinancialcareers.co.uk/NEWS_ITEM/newsItemId-9145


Risks of Trading

Sept. 19, 2007

BOSTON (MarketWatch)
http://www.marketwatch.com/news/story/morgan-stanley-says-significant-losses/story.aspx?guid=%7B7A55FBE9%2DB5F6%2D4164%2D869A%2D93F3CCAA1054%7D&siteid=rss

Morgan Stanley said it saw "significant trading losses" in its quantitative strategies in the fiscal third quarter. The company said the losses partially offset record results in derivatives and prime brokerage and record trading volumes in its core equity business. Morgan Stanley said equity sales and trading net revenue rose 16% from a year earlier to $1.8 billion.

Economic Times article on 27 October 2007 (page 20) gives the figure of loss as $480 million from the trading desk that employed computer generated models to trade and make money.

Thursday, January 31, 2008

A Blog for CFA course

I started a blog to develop material for CFA Level 1. I started posting for the study session 18 Alternative Investments. It will take around 15 days to complete the initial lesson material. Then I have to think of practice questions and problems for topic. May be by June I shall post material for 5 to 6 topics. http://www.nrao-cfal1.blogspot.com/