Product Launch in Industrial Markets – Financial Risks in New AMD Elevator Door Launch

Tuotekehitys ja uusien tuotteiden lanseeraus on teollisen yrityksen menestyksekkään liiketoiminnan elinehtoja tämän päivän kilpailussa. Teollisuusyrityksen tuotteiden innovaatioaikakausia on ollut lukuisia, samoin kuin uuden tuotteen lanseerauksen lähtökohtia. Aikakausista, jolloin tuotteita kehitettiin yrityksen omista lähtökohdista, kuten valmistuksellisista eduista, on edetty tilanteeseen, jossa markkinoiden tarpeita tulee ottaa yhä enemmän huomioon. Kuitenkin, teollisuudessa esitellään tuotteita yhä puhtaasti tuotantolähtöisesti, ja tutkimuksen tavoitteena on selvittää taloudellisia riskejä, joita liittyy puhtaasti teknologiavetoiseen tuotteiden kehitystyöhön, valmistukseen ja lanseeraukseen. Normatiivisena tutkimuksena työ pyrkii asiakastarpeita ja teollisuusyrityksen loppuasiakkaiden näkökulmia huomioon ottaen osoittamaan markkinoinnin keinojen merkityksen tuotantolähtöisen tuotelanseerauksen taloudellisten riskien minimoimiseksi. Uuden teollisen tuotteen asiakastarpeita on selvitetty kyselymuotoisen markkinointitutkimuksen menetelmiä hyväksikäyttäen. Tuotteen tärkeimpien ominaisuuksien, kuten turvallisuuden, kestävyyden ja hinnan merkitystä voidaan hyödyntää ennen tuotteen kaupallista esittelyä potentiaalisten asiakassegmenttien kartoitukseen ja menestyksellisen lanseerauksen edesauttamiseksi.

Can future systemic financial risks be quantified?: ergodic vs nonergodic stochastic processes

Different axioms underlie efficient market theory and Keynes's liquidity preference theory. Efficient market theory assumes the ergodic axiom. Consequently, today's decision makers can calculate with actuarial precision the future value of all possible outcomes resulting from today's decisions. Since in an efficient market world decision makers "know" their intertemporal budget constraints, decision makers never default on a loan, i.e., systemic defaults, insolvencies, and bankruptcies are impossible. Keynes liquidity preference theory rejects the ergodic axiom. The future is ontologically uncertain. Accordingly systemic defaults and insolvencies can occur but can never be predicted in advance.

Econometric models of financial risks

The goal of this dissertation is to use statistical tools to analyze specific financial risks that have played dominant roles in the US financial crisis of 2008-2009. The first risk relates to the level of aggregate stress in the financial markets. I estimate the impact of financial stress on economic activity and monetary policy using structural VAR analysis. The second set of risks concerns the US housing market. There are in fact two prominent risks associated with a US mortgage, as borrowers can both prepay or default on a mortgage. I test the existence of unobservable heterogeneity in the borrower's decision to default or prepay on his mortgage by estimating a multinomial logit model with borrower-specific random coefficients.

Financial risks and opportunities in the time of climate change. Bruegel Policy Brief ISSUE 2016/02 APRIL 2016

Real economic imbalances can lead to financial crisis. The current unsustainable use of our environment is such an imbalance. Financial shocks can be triggered by either intensified environmental policies, cleantech breakthroughs (both resulting in the stranding of unsustainable assets), or the economic costs of crossing ecological boundaries (eg floods and droughts due to climate change). Financial supervisors and risk managers have so far paid little attention to this ecological dimension, allowing systemic financial imbalances resulting from ecological pressures to build up. Inattention also leads to missed economic and financial opportunities from the sustainability transition.

Management of commercial property derived risks in the market context of the Russian Federation

The objective of the thesis is to examine the current state of risk management and to determine an appropriate risk management policy for commercial property derived risks in the Russian branch of a Finnish retail trade company. The employed research methodologies are comparative in-depth interviews and empirical value at risk analysis, including portfolio risk decomposition to determine the inter-currency characteristics. For a multinational retail trade company, the commercial property derived risks open up as a diverse combination of financial and non-financial risks with four distinctive interest groups. The research results indicate that geographical diversification across currency regimes provides diversification benefits. The Russian ruble is the most significant single risk component when considering the net investments outside the euro-zone. Decreasing the Russian ruble and Swedish krona exposures are the most effective methods to reduce translation derived risk. Exchange rate volatility varies over time according to idiosyncratic currency regime characteristics, and cost-effective risk management requires comprehensive analysis of the business environment. Profound and proactive risk management methods are found to be pivotal for companies with cross-border operations in order to succeed among international competitors.

Management motivation for using financial derivatives in Australia

This study takes a direct approach to determine management motivation for the use of financial derivatives. We survey a sample of Australian firms on attitudes to derivative use and financial risk management. Management views are sought on the importance of a series of theoretical reasons for using derivatives. Generally, we find that managers are focused on the broad reduction of risk and volatility of cash flows and earnings in using derivatives. Specific issues such as reducing bankruptcy costs, debt levels and taxation are not considered as important. A further interesting result from this research is that even though firms may use derivatives they may not necessarily hedge all of their annual exposures across different financial risks. This helps explain the inconsistency of results in many empirical studies on the determinants of derivative use.

A kockázat megjelenése a származtatott pénzügyi termékekben (The risk appearing in financial derivatives)

A pénzügyi kockázatok szerepe, modellezése, kezelése az utóbbi évtizedekben vált egyre hangsúlyosabbá az elméletben és a gyakorlatban egyaránt. A 2007-ben kezdődő pénzügyi válság egyik kiváltó oka a kockázatok nem megfelelő felmérése volt. A válság egyik tanulsága, hogy bár a matematika és a fizika hozzájárulása rendkívül mély módszertani apparátust biztosított a kockázatok számszerűsítésére, ezen eredmények pénzügyi alkalmazása csak akkor sikeres, ha pontosan értjük a modellek feltételeit és korlátait. Jelen cikk a pénzügyi derivatívák értékelésének alapelveit, valamint a származtatott ügyletekben megjelenő kockázatokat tekinti át, illetve bemutatja azokat a bizonytalansági tényezőket, amelyek megkérdőjelezik az értékelés objektivitását. / === / The modeling and management of financial risks became one of the most important topics of the last decade both in theory and fi nancial practice. The mismanagement of fi nancial risks can be mentioned among the reasons contributing to the eruption of the recent crisis. In order to use successfully the methodology of mathematics and physics in pricing of derivatives, we have to consider the assumptions and limits of the models. This paper introduces the main concepts – no arbitrage pricing and risk neutral valuation – in derivatives’ pricing, then presents and quantifies the risk of some derivative products. I am arguing that the assumptions of the Black–Scholes and Merton model are injured at several points, so the pricing can not be perfectly cleared from all the risk preferences. All those risks, deriving from the difference of the reality and the model are priced in the volatility parameter in the practice.

Portfolio valuation in banks

Frequent references are made to the use of portfolio spread rates in managing financial risks in banks, but indications as to the procedures for determining such rates are very scant.The purpose of this article is to present some initial ideas on the subject: a Standard Funding system indicates what each portfolio should have earned, while an Actual Funding system points out what each portfolio did, in fact, earn; additionally, by comparing the outcomes of the two funding systems for each portfolio, it is possible to determine what each portfolio earned (or lost) in the way of arbitrage.

Interest rate exposure of Spanish banks: A nonparametric analysis

Interest rate risk is one of the major financial risks faced by banks due to the very nature of the banking business. The most common approach in the literature has been to estimate the impact of interest rate risk on banks using a simple linear regression model. However, the relationship between interest rate changes and bank stock returns does not need to be exclusively linear. This article provides a comprehensive analysis of the interest rate exposure of the Spanish banking industry employing both parametric and non parametric estimation methods. Its main contribution is to use, for the first time in the context of banks’ interest rate risk, a nonparametric regression technique that avoids the assumption of a specific functional form. One the one hand, it is found that the Spanish banking sector exhibits a remarkable degree of interest rate exposure, although the impact of interest rate changes on bank stock returns has significantly declined following the introduction of the euro. Further, a pattern of positive exposure emerges during the post-euro period. On the other hand, the results corresponding to the nonparametric model support the expansion of the conventional linear model in an attempt to gain a greater insight into the actual degree of exposure.

A actual conjuntura económico-financeira e os mercados de futuros sobre o petróleo

Mestrado em Contabilidade e Análise Financeira

Cobertura de risco ou especulação? : Evidência da utilização de derivados pelas empresas portuguesas durante a recente crise financeira

Mestrado em Contabilidade

Stochastic Framework for Strategic Decision-making of Load-serving Entities for Day-ahead Market

The deregulation of electricity markets has diversified the range of financial transaction modes between independent system operator (ISO), generation companies (GENCO) and load-serving entities (LSE) as the main interacting players of a day-ahead market (DAM). LSEs sell electricity to end-users and retail customers. The LSE that owns distributed generation (DG) or energy storage units can supply part of its serving loads when the nodal price of electricity rises. This opportunity stimulates them to have storage or generation facilities at the buses with higher locational marginal prices (LMP). The short-term advantage of this model is reducing the risk of financial losses for LSEs in DAMs and its long-term benefit for the LSEs and the whole system is market power mitigation by virtually increasing the price elasticity of demand. This model also enables the LSEs to manage the financial risks with a stochastic programming framework.

Incentive-based demand response programs designed by asset-light retailers for day-ahead market

Following the deregulation experience of retail electricity markets in most countries, the majority of the new entrants of the liberalized retail market were pure REP (retail electricity providers). These entities were subject to financial risks because of the unexpected price variations, price spikes, volatile loads and the potential for market power exertion by GENCO (generation companies). A REP can manage the market risks by employing the DR (demand response) programs and using its' generation and storage assets at the distribution network to serve the customers. The proposed model suggests how a REP with light physical assets, such as DG (distributed generation) units and ESS (energy storage systems), can survive in a competitive retail market. The paper discusses the effective risk management strategies for the REPs to deal with the uncertainties of the DAM (day-ahead market) and how to hedge the financial losses in the market. A two-stage stochastic programming problem is formulated. It aims to establish the financial incentive-based DR programs and the optimal dispatch of the DG units and ESSs. The uncertainty of the forecasted day-ahead load demand and electricity price is also taken into account with a scenario-based approach. The principal advantage of this model for REPs is reducing the risk of financial losses in DAMs, and the main benefit for the whole system is market power mitigation by virtually increasing the price elasticity of demand and reducing the peak demand.

Forecasting US bond default ratings allowing for previous and initial state dependence in an ordered probit model

In this paper we investigate the ability of a number of different ordered probit models to predict ratings based on firm-specific data on business and financial risks. We investigate models based on momentum, drift and ageing and compare them against alternatives that take into account the initial rating of the firm and its previous actual rating. Using data on US bond issuing firms rated by Fitch over the years 2000 to 2007 we compare the performance of these models in predicting the rating in-sample and out-of-sample using root mean squared errors, Diebold-Mariano tests of forecast performance and contingency tables. We conclude that initial and previous states have a substantial influence on rating prediction.

Means and challenges in international operations for a Finnish mobile application provider

Master’s Thesis concentrates to means and challenges in international operations for a Finnish mobile application provider Small Planet Oy during its various company stages from founding till maturing and during macro economical phases between year 1998 and 2008. Small Planet has just celebrated its 10 year anniversary and is therefore quite an extraordinary company which has survived all the highs and lows during past ten years and which has operated in the market as long as the whole mobile application industry has existed. Master’s Thesis describes possibilities for a company’s internationalization with different entry modes like exporting, licensing, investment entry and co-operative operations which are suitable for a mobile application provider. Unsuitable entry modes like franchising or contract manufacturing are not explained. The goal has been to analyze Small Planet’s international operations and to make conclusions from the practical experiences. Analysis and conclusions shall help Small Planet in its international operations in the future and should give insight to other mobile application companies and their managers who are in the situation of planning their own international operations. Results show that the best ways for Small Planet to internationalize its operations has been the co-operation with a big domestic client and the co-operation with Finnish operator infrastructure providers which have complementary products with Small Planet. Through these co-operations Small Planet has got lot of new international clients. Same time financial risks and investment need for international operations have been low. Co-operative international sales can be the most efficient international entry mode for a mobile application provider.