Tag Archives: Volatility

Case Study on Bunker Fuel

Case Study about Bunker Fuel

Introduction: Bunker Fuel is traded in US Dollars world-wide, every major port has its own set of rates and therefore it becomes quite complicated to write a comparative study on an alternative to the US Dollar as a reference currency for bunker fuel. For this reason we have taken the pricing system of WTSA WTSA has a system of bunker fuel pricing and different surcharges (e.g. refrigerated containers) that is clearly explained on their website. Our starting point has prices in US Dollars; these prices represent our starting point. When we turn US Dollars prices into Wocu1prices we introduce an element of volatility that needs to be considered when we look at the results of this case study. The exchange rate USD/Wocu has its own volatility and therefore any Wocu result would be better if we could have a starting point for the Wocu without that element of volatility

Case Study on Bunker Fuel

The availability of data in the WTSA website allows us to use what is essentially a pricing structure aimed at the US Dollar market for a generic trend for bunker fuel prices across different markets. This case study deals with bunker fuel in an oversimplified way; there is no consideration of surcharges and of different pricing for different agreements. However, the principles behind the case we are discussing remain the same whatever the agreement and it is safe to assume that the surcharges (priced in US Dollars themselves) will behave according to similar logic. Although the shipping world is fairly used to use the US Dollar as their main working currency, the clients of shipping lines ultimately pay in their local currency. We shall show how using the Wocu means a reduced volatility and therefore easier and more reliable cost forecasts. Easier and more reliable assessments of future shipping costs may be one of the decisive factors in the decision to enter new markets. Keep reading..

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A Case Study of the U.K. Pound/U.S. Dollar Exchange Rate Returns

A Case Study about  the U.K. Pound/U.S. Dollar Exchange Rate Returns

Abstract: This paper utilizes a new approach to examine the inherent nonlinear dynamics of the exchange rate returns volatility. Specifically, we utilize a regime switching threshold (i) generalized autoregressive conditional heteroskedasticity (RS-TGARCH) and (ii) a fractional generalized autoregressive conditional heteroskedasticity (RS-TFIGARCH) model.

Case Study on Exchange Rate Returns

The RS-TGARCH model is found to be adequate in analyzing the first two moments of the U.K. pound/U.S. dollar monthly exchange rate returns series. The RS-TFIGARCH is found to be adequate for the daily returns series. The volatility persistence and leverage effects associated with exchange rate returns series are jointly tested by means of a Wald Chi-square test. Keep reading…

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Case Study on Volatility of Securities traded on Bse Sensex

Master of Business Administration student is a matter of pride because we are in afield, which helps us to develop from a normal human being into a disciplined, and dedicated professional. One has to be a good learner to sharper knowledge in the particular field to achieve and attain the desired goals and heights. Being M.B.A finance student‘s and the interest area towered the financial Market we are taking the topic of An Analytical Study on the Volatility of Securities traded on Bse Sensex for the research purpose. From this research we actually fulfill our purpose of how the individual investee will look towards the Financial Market and how he/she invest money in financial market.



Case Study on Volatility of Securities traded on Bse Sensex

Overview of World Market: During last one-decade capital markets around the globe witnessed a series of developments in terms of its movements, volatility and capitalization. Despite the bearishness in the first half of 2003 due to war on terrorism, epidemic outbreaks,and economic sluggishness, the markets in the advanced economies received substantial benefits in terms of rise in Gross Domestic Product (GDP). For example, in high-Income Countries, the market capitalization as a percentage of GDP was as high as 103.9%, where as in low-income countries it was at 18.3%. A number of initiatives undertaken to attract cross border Investments through liberalized trade policies globalized economic reforms, portfolio investments ranging from 24% to 100% of the paid-up capital with repatriation facility in certain cases were the prime factors of Asia now being in focus in the capital market..
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A Case Study on Foreign Exchange Risk Management: TCS Technology Ltd.

Exchange rate risk is quite common in the international business as we are the floating exchange rate regime, since the breakdown of Bretton Woods System. This risk cannot be avoided, but can be managed by hedging in currency forwards and options. The need and approach for managing it depends on the size of exposure and fluctuations in exchange rate. India has its own status in the international markets. Indian IT sector is known for development of software. Indian IT mainly depends on exports and they are required to measure and mange exchange rate risk.



A Case Study on Foreign Exchange Risk Management: TCS Technology Ltd.

Introduction: Exchange rate risk is inevitable in this floating exchange rate regime. Since the breakdown of the Bretton Woods fixed-parity system in the early 1970s, the volatility of exchange rate and its associated risks have become an increasingly important component of international financial management. In the light of globalization and internationalization of world markets, foreign exchange risk has become one of the most difficult and persistent problems for the firms exposed to forex risk. Fluctuations in exchange rates have become a major source of uncertainty for multinational firms as well as domestic firms, which have transactions in foreign currency…
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Hedging in Currency Futures: A Singapore Dollar Case Study

Abstract: In recent months the volatility of currency values, especially the changing value of the US Dollar against the Swiss Franc. Deutsche Mark, Japanese Yen and the Singapore Dollar has significantly increased the foreign exchange risk exposure of multinational corporations.



Hedging in Currency Futures: A Singapore Dollar Case Study

This article looks at several different strategies which a corporate treasurer can consider for minimizing his risk exposure. Finally, two different borrowing strategies in the forward market which are based upon local currency (Singapore Dollar) and foreign currency (US Dollar) borrowing are compared. The results show that substantial cost savings can be obtained by selective borrowing..
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Financial Risk Management – Case Study

The increased volatility of international markets generates increased financial risk to the companies. Exchange rate change is one of the financial risks where the increased volatility is reflected to the greatest extent. Big multinational companies are particularly exposed to exchange rate fluctuation; therefore, special attention should be paid to exchange rate management.

Financial Risk Management - Case Study

There are a lot of ways that exchange rate risk management analysis might be set. In our thesis, transaction exposure is our chosen method of analysis. Business transactions are what profit seeking companies’ activity is based upon, and transaction exposure management is an activity that observes the whole life span of business transaction from “birth” to “death”. Thus, we stress, that such a whole period exposure analysis of the company’s most fundamental activity would give the clearest picture of the topic. Click here to read more…

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Case Study on Financial Mathematics

Each group will get a financial data set (e.g. a series of the daily closing index of stock prices). The goal of the study is to investigate this particular data set in various ways. 1. Estimate the annual volatilities and return rates., 2. Price a European call option on this underlying instrument (start prices and expiration dates will be given to each group separately)., 3. Investigate the data set for stationarity and explore various ways to makeit stationary., 4. Investigate the distributions and the autocorrelation functions of relative and log-returns and the daily volatilities., 5. Fit a linear autoregressive model and investigate its fit and predictive power., 6. Estimate a suitable ARCH model for this return sequence. Deduce from this a suitable range in which the volatility takes its values (either by inspection of some graphs or by a more formal calculation). Click here to read more…

Case Study on Financial Mathematics

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A Look Into Economical Bubbles

The behaviour of commodity prices and U.S./European housing market prices in 2008, the ‘dot-com’ boom in 1998-2000, all these events have been characterized as speculative price bubbles: persistent deviations from assets’ fundamental values with strong increases in asset prices in a continuous process. They are possibly the most controversial subject of finance, not only for the implications to risk management, but because their existence contradicts the assumptions of the Efficient Market Hypothesis (EMH).

Although some critics challenge the very existence of bubbles, even questioning the empirical tests developed in recent years, several studies have been carried out concerning speculative bubbles, and it is undeniable that the coexistence of high prices, high trading volumes and high volatility is not consistent with the assumptions of EMH, hence the need to use an alternative approach – behavioural finance – in order to better explain this phenomenon. This article aims to compare two approaches to bubble prices: one based on the EMH, the other based on a behavioural approach.

Bubbles and EMH

The idea that market prices will move toward equilibrium is a fundamental concept in the capital markets theory. Investors have homogeneous expectations, converging with respect to returns, variance and covariance of asset prices, just having different degrees of risk aversion. Any change in price will result in a strong pressure to restore the balance: in fact rational investors will eliminate the bubble before it develops, as it is stated by the EMH. However, bubbles exist. The occurrence of speculative bubbles is not only exciting for the challenge to EMH, but mainly to the practical effects post-bubbles. Akerlof and Shiller make the point that bubbles are not irrelevant; they produce severe effects on the real economy, affecting not only investors but a lot of people who never had anything to do with those assets.

Do bubbles exist?

Flood and Hodrick (‘FH’) have commented that although it is theoretically possible to imagine a relationship between high volatility and bubbles, empirical evidence of the existence of a bubble can be attributed to poorly designed models or inappropriate
empirical studies, some of which use samples of market prices to prove the existence of a bubble. They effectively deny the existence of bubbles and criticize the idea that the existence of speculative bubbles is evidence that markets are not efficient, based on what these authors called an unobservable construct: the inability to determine a rational ex-post price, the ‘real’ price after the bubble has burst.

What makes a bubble?

Whilst FH only consider high volatility as being a defining characteristic of a bubble, Scheinkman and Xiong3 (‘SX’) believe that the formation of bubbles is related to the coexistence of high prices, high trading volumes and high volatility in prices, something that occurred in several episodes that can be described as bubbles. SX did not focus their analysis on the possible determination of a rational price ex-post, but in the high trading volume vis-à-vis the market value of the stocks. SX cite that between the end of 1998 and February 2000 transactions involving stocks of internet companies accounted for 20% of the total amount traded on U.S. stock exchanges. However, the market capitalization of these companies never exceeded 6%.

Bubbles and investor behaviour

SX propose an analysis model of bubble formation based on the heterogeneous expectations of investors, generated by overconfidence. With heterogeneous expectations, investors have different expectations about the probability distribution of future cash flow. Overconfidence is defined as the belief by investors that their respective information is more accurate than that of other investors. It is related to the tendency of individuals to overestimate their ability in relation to others. SX’s asset pricing model considers that an investor makes up the price from their own vision of what would be the fundamental price, and that they have (besides, of course, the asset itself) a put option on this asset. The value of this option can be reasonably understood as corresponding to the bubble. They do not work with the hypothesis of an observable rational price ex-post as being an important way of determining the existence of a bubble. The relationship between price bubbles and fundamental market prices or with the high trading volume clearly separates the two approaches. High volatility, high prices and high trading volumes are not compatible with the EMH approach, which means we have to look elsewhere to understand why bubbles occur. Behavioural finance, using the relationship of price bubble and speculative trading (i.e., high trading volumes with high volatility in prices), allows a theoretical and investigative way to resolve the difficulty of determining a rational price ex-post.
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Case Study of Australian Wool Education Trust

The above formula was prescribed around a time when the annual wool cheque provided the staple earnings for many Australian farmers. Today, volatile wool prices and rising input costs are forcing wool growers to focus closely on supply and productivity measures. Diversity in farming enterprises is increasingly important. Specialist wool producers are vulnerable to the effects of volatility of wool prices. Mixed farming enterprises are not as susceptible to a downturn in any particular sector. For example, in recent seasons, good returns from cropping and meat have been important in offsetting the effects of low wool prices. Read more..

Case Study of Australian Wool Education Trust

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