The Relationship Between Fundamental Analysis and Stock Returns Based on the Panel Data Analysis; Evidence from Karachi Stock Exchange (KSE)
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Stock Valuation Models (4.1)
Research STOCK VALUATION January 6, 2003 MODELS (4.1) Topical Study #58 All disclosures can be found on the back page. Dr. Edward Yardeni (212) 778-2646 [email protected] 2 Figure 1. 75 75 70 STOCK VALUATION MODEL (SVM-1)* 70 65 (percent) 65 60 60 55 55 50 50 45 45 RESEARCH 40 40 35 35 30 30 25 25 20 Overvalued 20 15 15 10 10 5 5 0 0 -5 -5 -10 -10 -15 -15 -20 -20 -25 -25 -30 Undervalued -30 -35 12/27 -35 -40 -40 -45 -45 Yardeni Stock ValuationModels -50 -50 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 January 6,2003 * Ratio of S&P 500 index to its fair value (i.e. 52-week forward consensus expected S&P 500 operating earnings per share divided by the 10-year U.S. Treasury bond yield) minus 100. Monthly through March 1994, weekly after. Source: Thomson Financial. R E S E A R C H Stock Valuation Models I. The Art Of Valuation Since the summer of 1997, I have written three major studies on stock valuation and numerous commentaries on the subject.1 This is the fourth edition of this ongoing research. More so in the past than in the present, it was common for authors of investment treatises to publish several editions to update and refine their thoughts. My work on valuation has been acclaimed, misunderstood, and criticized. In this latest edition, I hope to clear up the misunderstandings and address some of the criticisms. -
An Overview of the Empirical Asset Pricing Approach By
AN OVERVIEW OF THE EMPIRICAL ASSET PRICING APPROACH BY Dr. GBAGU EJIROGHENE EMMANUEL TABLE OF CONTENT Introduction 1 Historical Background of Asset Pricing Theory 2-3 Model and Theory of Asset Pricing 4 Capital Asset Pricing Model (CAPM): 4 Capital Asset Pricing Model Formula 4 Example of Capital Asset Pricing Model Application 5 Capital Asset Pricing Model Assumptions 6 Advantages associated with the use of the Capital Asset Pricing Model 7 Hitches of Capital Pricing Model (CAPM) 8 The Arbitrage Pricing Theory (APT): 9 The Arbitrage Pricing Theory (APT) Formula 10 Example of the Arbitrage Pricing Theory Application 10 Assumptions of the Arbitrage Pricing Theory 11 Advantages associated with the use of the Arbitrage Pricing Theory 12 Hitches associated with the use of the Arbitrage Pricing Theory (APT) 13 Actualization 14 Conclusion 15 Reference 16 INTRODUCTION This paper takes a critical examination of what Asset Pricing is all about. It critically takes an overview of its historical background, the model and Theory-Capital Asset Pricing Model and Arbitrary Pricing Theory as well as those who introduced/propounded them. This paper critically examines how securities are priced, how their returns are calculated and the various approaches in calculating their returns. In this Paper, two approaches of asset Pricing namely Capital Asset Pricing Model (CAPM) as well as the Arbitrage Pricing Theory (APT) are examined looking at their assumptions, advantages, hitches as well as their practical computation using their formulae in their examination as well as their computation. This paper goes a step further to look at the importance Asset Pricing to Accountants, Financial Managers and other (the individual investor). -
Investors' Awareness of Fundamental and Technical Analysis For
International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-9, July 2019 Investors’ Awareness of fundamental and Technical Analysis for Investments in Securities Market Jayalakshmi. R, N. Lakshmi Abstract: The role of investors in the securities market reveals the rising prominence of financial savings and also the II. REVIEW OF LITERATURE growth of industry and the economy. The focal point is to survey the investors’ awareness of the fundamental and technical Wiwik Utami (2017) conducted a case study on investors’ analysis for investment in the securities market. The study stock investment decisions in Indonesia. The result showed identified an analysis of the economy, industries and companies that the period of investment and experience influenced the as the three fundamental components that influence and affect method of security analysis adopted before investment the investors’ investment in the securities market. decisions. Technical analysis was mostly preferred by Keywords: securities market, investors, rising prominence, regular tradinginvestors for quick decision-making. financial savings & technical analysis. Prasaanna Prakash (2016) found that the retail investors were less aware of the various investment options and the I. INTRODUCTION protective measures taken by the government. A majority of Investment in the securities market needs analysis to the retail investors chose investments for a short duration. identify and select the right instruments and right time to The researcher suggested that the retail investors be given invest to reap high returns, which in turn, can increase the proper attention. Investors’ decisions were based on investors’ wealth. Based on the analysis, the investment psychological, emotional and behavioral factors. -
The Predictive Ability of the Bond-Stock Earnings Yield Differential Model
The Predictive Ability of the Bond-Stock Earnings Yield Differential Model KLAUS BERGE,GIORGIO CONSIGLI, AND WILLIAM T. ZIEMBA FORMAT ANY IN KLAUS BERGE he Federal Reserve (Fed) model prices and stock indices has been studied by is a financial controller provides a framework for discussing Campbell [1987, 1990, 1993]; Campbell and for Allianz SE in Munich, stock market over- and undervalu- Shiller [1988]; Campbell and Yogo [2006]; Germany. [email protected] ation. It was introduced by market Fama and French [1988a, 1989]; Goetzmann Tpractitioners after Alan Greenspan’s speech on and Ibbotson [2006]; Jacobs and Levy [1988]; GIORGIO CONSIGLI the market’s irrational exuberance in ARTICLELakonishok, Schleifer, and Vishny [1994]; Polk, is an associate professor in November 1996 as an attempt to understand Thompson, and Vuolteenaho [2006], and the Department of Mathe- and predict variations in the equity risk pre- Ziemba and Schwartz [1991, 2000]. matics, Statistics, and Com- mium (ERP). The model relates the yield on The Fed model has been successful in puter Science at the THIS University of Bergamo stocks (measured by the ratio of earnings to predicting market turns, but in spite of its in Bergamo, Italy. stock prices) to the yield on nominal Treasury empirical success and simplicity, the model has [email protected] bonds. The theory behind the Fed model is been criticized. First, it does not consider the that an optimal asset allocation between stocks role played by time-varying risk premiums in WILLIAM T. Z IEMBA and bonds is related to their relative yields and the portfolio selection process, yet it does con- is Alumni Professor of Financial Modeling and when the bond yield is too high, a market sider a risk-free government interest rate as the Stochastic Optimization, adjustment is needed resulting in a shift out of discount factor of future earnings. -
Fundamental Analysis to Access the Fair Value Based on Price Earning
International Conference on Education For Economics, ISSN (Print) 2540-8372 Business, and Finance (ICEEBF) 2016 ISSN (Online) 2540-7481 Fundamental Analysis to Access the Fair Value Based on Price Earning Ratio (PER) and Dividend Discount Model (DDM) Approach as the basis for Investment Decision Making (A Study on the Insurance Sub Sector Listing in Indonesia Stock Exchange Period 2013-2015) Lisa Rahayu Ningsih Faculty of Economics, Universitas Negeri Malang, Indonesia Email: [email protected] Abstract This research aims to give explanation to assess and determine the reasonableness stock price of comparing fair value with market price. Assessing the reasonableness of stock price by Price Earning Ratio and Dividend Discount Model approaches in insurance companies listed in Indonesia Stock Exchange 2013-2015 to make investment decision. The research use descriptive research with quantitative approach. The population in this study is 12 insurance companies and the sampling technique is purposive sampling which 7 companies taken as sample with ticker stock code ABDA, AMAG, ASBI, ASDM, LPGI, MREI, ASRM. Fundamental ratio used in this research is Return On Equity (ROE), Earning Per Share (EPS), Dividend Per Share (DPS), and Dividend Payout Ratio (DPR). The result of this research showed one company that the price of its share which are undervalued and six companies that the price of overvalued condition when it measured with Price Earning Ratio method. Beside that comparing final result by using Dividend Discount Model showed that three companies is an undervalued position and four companies is an overvalued position. The decision that can be taken by investor based on undervalued condition is to buy or hold the shares whereas overvalued condition is to sell. -
Dividend Valuation Models Prepared by Pamela Peterson Drake, Ph.D., CFA
Dividend valuation models Prepared by Pamela Peterson Drake, Ph.D., CFA Contents 1. Overview ..................................................................................................................................... 1 2. The basic model .......................................................................................................................... 1 3. Non-constant growth in dividends ................................................................................................. 5 A. Two-stage dividend growth ...................................................................................................... 5 B. Three-stage dividend growth .................................................................................................... 5 C. The H-model ........................................................................................................................... 7 4. The uses of the dividend valuation models .................................................................................... 8 5. Stock valuation and market efficiency ......................................................................................... 10 6. Summary .................................................................................................................................. 10 7. Index ........................................................................................................................................ 11 8. Further readings ....................................................................................................................... -
Kochmeister Awards Ceremony at the Budapest Stock Exchange
Kochmeister awards ceremony at the Budapest Stock Exchange Budapest, 14 June 2010 Kochmeister award is handed over today for the seventh time at the Budapest Stock Exchange. The Budapest Stock Exchange founded the Kochmeister Award in 2004 to reward talented young people who submit the best paper(s) on predetermined topics related to the Stock Exchange. The award is named after Baron Frigyes Kochmeister, who played a leading role in 1864, in establishing the Budapest Commodity and Stock Exchange, and, as the first chairman of the Exchange, managed the institution for years. BSE Chief Executive Officer György Mohai handed over the prizes. Zsolt Kelemen, Deputy CEO of Finance of CIG Pannónia Life Insurance Plc. handed over the special prize offered by the company. Eighteen essays that arrived from eight national and transborder higher education institutions were in competition in the contest dedicated to the memory of Frigyes Kochmeister in 2011. The professional jury is awarded the following winners: First place: Zita-Klára Málnási - student of Babes-Bolyai University, Cluj-Napoca Title: Fundamental Analysis of the E-Star Alternative Plc. Second place: Viktor Vajda - student of Corvinus University, Budapest Title: New types of security trading platforms in the European Union Third place: Gábor Szentirmai - student of Corvinus University of Budapest Title: Fundamental Analysis of the E-Star Alternative Plc. Special prize offered by CIG Pannónia Life Insurance Plc.: Péter Szentirmai – student of Corvinus University of Budapest Title: Testing the technical trading rules of forecastability at the Budapest Stock Exchange About the Budapest Stock Exchange The CEE Stock Exchange Group (CEESEG), which comprises of the stock exchanges of Budapest, Ljubljana, Prague and Vienna, is the largest stock exchange group in the region. -
A Theory of Speculative Bubbles, the Fed Model, and Self-Fulfilling
Monetary Exchange in Over-the-Counter Markets: A Theory of Speculative Bubbles, the Fed Model, and Self-fulfilling Liquidity Crises Ricardo Lagos∗ Shengxing Zhangy New York University London School of Economics September 2014 Abstract We develop a model of monetary exchange in over-the-counter markets to study the ef- fects of monetary policy on asset prices and standard measures of financial liquidity, such as bid-ask spreads, trade volume, and the incentives of dealers to supply immediacy, both by participating in the market-making activity and by holding asset inventories on their own account. The theory predicts that asset prices carry a speculative premium that reflects the asset's marketability and depends on monetary policy as well as the microstructure of the market where it is traded. These liquidity considerations imply a positive correlation between the real yield on stocks and the nominal yield on Treasury bonds|an empirical observation long regarded anomalous. The theory also exhibits rational expectations equi- libria with recurring belief driven events that resemble liquidity crises, i.e., times of sharp persistent declines in asset prices, trade volume, and dealer participation in market-making activity, accompanied by large increases in spreads and abnormally long trading delays. Keywords: Money; Liquidity; OTC markets; Asset prices; Fed model; Financial crises JEL classification: D83, E31, E52, G12 ∗Lagos thanks the support from the C.V. Starr Center for Applied Economics at NYU. yZhang thanks the support from the Centre -
(Form ADV, Part 2A) Cavanal Hill
Item 1 – Cover Page Firm Brochure (Form ADV, Part 2A) Cavanal Hill Investment Management, Inc. One Williams Center 15th Floor Tulsa, Oklahoma 74172 (800) 958-2942 May 2020 This brochure (“B r o c h u r e”) provides information about the qualifications and business practices of Cavanal Hill Investment Management, Inc. If you have questions about the contents of this brochure, please contact us at (800) 955-2942 or www.cavanalhill.com. The information in this brochure has not been approved or verified by the United States Securities and Exchange Commission or by any state securities authority. Additional information about Cavanal Hill Investment Management, Inc. is available on the SEC’s website at www.adviserinfo.sec.gov. Note: While Cavanal Hill Investment Management, Inc. may refer to itself as a “registered investment adviser” or “RIA” you should be aware that registration itself does not imply any level of skill or training. 1 Item 2 – Material Changes Annual Update The Material Changes section of this brochure is updated to report any material changes to the previous version of Form ADV, Part 2A (the Firm Brochure). The section bellows provides a summary of material changes since the last update. Summary of Material Changes since the Last Update The U.S. Securities and Exchange Commission requires that each Investment Adviser provide its new clients with a copy of its Form ADV, Part 2A. The rule requires completion of specific mandatory sections and those sections are to be organized in the order specified by the rule. Investment adviser must update the information in their Form ADV, Part 2A, when a material change has occurred. -
Module 8 Investing in Stocks
Module 8 Investing in stocks Prepared by Pamela Peterson Drake, Ph.D., CFA 1. Overview When an investor buys a WARREN BUFFETT ON INTRINSIC VALUE share of common stock, it is reasonable to expect From the 1994 annual report to shareholders of Berkshire Hathaway1 that what an investor is willing to pay for the “We define intrinsic value as the discounted value of the cash that can share reflects what he be taken out of a business during its remaining life. Anyone calculating intrinsic value necessarily comes up with a highly subjective figure that expects to receive from it. will change both as estimates of future cash flows are revised and as What he expects to interest rates move. Despite its fuzziness, however, intrinsic value is receive are future cash all-important and is the only logical way to evaluate the relative flows in the form of attractiveness of investments and businesses. dividends and the value … of the stock when it is To see how historical input (book value) and future output (intrinsic value) can diverge, let's look at another form of investment, a college sold. education. Think of the education's cost as its "book value." If it is to be accurate, the cost should include the earnings that were foregone by The value of a share of the student because he chose college rather than a job. stock should be equal to the present value of all For this exercise, we will ignore the important non-economic benefits the future cash flows you of an education and focus strictly on its economic value. -
Download Download
International Business & Economics Research Journal – November/December 2014 Volume 13, Number 6 The Random Walk Theory And Stock Prices: Evidence From Johannesburg Stock Exchange Tafadzwa T. Chitenderu, University of Fort Hare, South Africa Andrew Maredza, North West University, South Africa Kin Sibanda, University of Fort Hare, South Africa ABSTRACT In this paper, we test the Johannesburg Stock Exchange market for the existence of the random walk hypothesis using monthly time series of the All Share Index (ALSI) covering the period 2000 – 2011. Traditional methods, such as unit root tests and autocorrelation test, were employed first and they all confirmed that during the period under consideration, the JSE price index followed the random walk process. In addition, the ARIMA model was constructed and it was found that the ARIMA (1, 1, 1) was the model that most excellently fitted the data in question. Furthermore, residual tests were performed to determine whether the residuals of the estimated equation followed a random walk process in the series. The authors found that the ALSI resembles a series that follow random walk hypothesis with strong evidence of a wide variance between forecasted and actual values, indicating little or no forecasting strength in the series. To further validate the findings in this research, the variance ratio test was conducted under heteroscedasticity and resulted in non-rejection of the random walk hypothesis. It was concluded that since the returns follow the random walk hypothesis, it can be said that JSE, in terms of efficiency, is on the weak form level and therefore opportunities of making excess returns based on out-performing the market is ruled out and is merely a game of chance. -
A Model of Monetary Exchange in Over-The-Counter Markets∗
A Model of Monetary Exchange in Over-the-Counter Markets∗ Ricardo Lagos Shengxing Zhang New York University New York University May 2014 Abstract We develop a model of monetary exchange in over-the-counter markets to study the effects of monetary policy on asset prices and standard measures of financial liquidity, such as bid-ask spreads, trade volume, and the incentives of dealers to supply immediacy, both by participating in the market-making activity and by holding asset inventories on their own account. The theory predicts that asset prices carry a speculative premium that reflects the asset's marketability and depends on monetary policy as well as the market microstructure where it is traded. These liquidity considerations imply a positive correlation between the real yield on stocks and the nominal yield on Treasury bonds|an empirical observation long regarded anomalous. The theory also exhibits rational expectations equilibria with recurring belief driven events that resemble liquidity crises, i.e., times of sharp persistent declines in asset prices, trade volume, and dealer participation in market-making activity, accompanied by large increases in spreads and abnormally long trading delays. Keywords: Money; Liquidity; OTC markets; Asset prices; Fed model; Financial crises JEL classification: D83, E31, E52, G12 ∗We thank the support from the C.V. Starr Center for Applied Economics at NYU. 1 Introduction We develop a model of monetary exchange in financial over-the-counter (OTC) markets and use it to study some elementary questions in financial and monetary economics. Specifically, we consider a setting in which a financial asset that yields a dividend flow of consumption goods (e.g., an equity or a real bond) is traded by investors who have time-varying heterogeneous valuations for the dividend.