House price bubble estimations in Australia's capital cities with market fundamentals

This paper investigates the existence of house price bubbles in Australia's eight capital cities in recent years by using quantitative analyses including Johansen cointegration test, Granger causality test, impulse response and Chow forecast test. While interactions between house prices and market fundamentals are discussed in long-run and causal estimations, shocks from the market fundamentals to house prices are investigated in generalized impulse response analyses. Findings from estimating house price bubbles for eight capital cities suggest that there was an obvious house price bubble in Perth, while a slight house price bubble occurred in Sydney. In contrast, house prices in Adelaide and Darwin can be explained very well by market fundamentals, while house prices in Melbourne, Brisbane, Hobart and Canberra were undervalued in the study period.

Market effects on forecasting construction prices using vector error correction models

Construction price forecasting is an essential component to facilitate decision-making for construction contractors, investors and related financial institutions. Construction economists are increasingly interested in seeking a more analytical method to forecast construction prices. Although many studies have focused on construction price modelling and forecasting, few have considered the impacts of large-scale economic events and seasonality. In this study, an advanced multivariate modelling technique, namely the vector correction (VEC) model with dummy variables, was employed. The impacts of global economic events and seasonality are factored into the model to forecast the construction price in the Australian construction market. Research findings suggest that both long-run and dynamic short-term causal relationships exist among the price and levels of supply and demand in the construction market. These relationships drive the construction price and supply and demand, which interact with one another as a loop system. The reliability of forecasting models was examined by the mean absolute percentage error (MAPE) and the Theil's inequality coefficient U tests. The test results suggest that the conventional VEC model and the VEC model with dummy variable are both acceptable for forecasting the construction price, while the VEC model considering external impacts achieves higher prediction accuracy than the conventional VEC model. © 2014 © 2014 Taylor & Francis.

Improvement on the sales forecast accuracy for a fast growing company by the best combination of historical data usage and clients segmentation

Industrial companies in developing countries are facing rapid growths, and this requires having in place the best organizational processes to cope with the market demand. Sales forecasting, as a tool aligned with the general strategy of the company, needs to be as much accurate as possible, in order to achieve the sales targets by making available the right information for purchasing, planning and control of production areas, and finally attending in time and form the demand generated. The present dissertation uses a single case study from the subsidiary of an international explosives company based in Brazil, Maxam, experiencing high growth in sales, and therefore facing the challenge to adequate its structure and processes properly for the rapid growth expected. Diverse sales forecast techniques have been analyzed to compare the actual monthly sales forecast, based on the sales force representatives’ market knowledge, with forecasts based on the analysis of historical sales data. The dissertation findings show how the combination of both qualitative and quantitative forecasts, by the creation of a combined forecast that considers both client´s demand knowledge from the sales workforce with time series analysis, leads to the improvement on the accuracy of the company´s sales forecast.

The employment situation in Latin America and the Caribbean: Crisis, stabilization and reactivation: performance of the labour market in 2009

Following a five-year period during which economic and social performance in Latin America and the Caribbean surpassed anything seen in recent decades, the global economic and financial crisis not only hurt macroeconomic variables but also impacted heavily on labour markets in the region’s countries. Between 2003 and 2008 employment rates had risen considerably, especially in the formal sector, but the crisis spelled a reversal of this trend. Nevertheless, the region was better prepared than it had been in previous crises, since it had achieved a sound fiscal footing, a good level of international reserves and low rates of inflation. This meant that the authorities had the space to implement countercyclical policies on both fiscal and monetary levels. Be this as it may, faced with the worst global crisis since the Great Depression of the 1930s, these measures could only attenuate the impact on the region’s economies —they could not prevent it altogether. Furthermore, the crisis struck with notable differences among subregions and countries depending on the nature of their trade integration, and not all the countries had the fiscal space to implement vigorous countercyclical policies. As discussed in this third ECLAC/ILO bulletin, the crisis did less damage to the region’s labour markets than had been feared at the beginning of last year, thanks to the implementation of public policies geared towards employment, as reviewed in the two previous bulletins. This bulletin offers an additional analysis from the perspective of gender equality. Moreover, some countries in the region, notably Brazil, managed to rapidly stabilize and revive economic growth, with positive effects on labour variables. The fact remains, however, that millions in Latin America and the Caribbean lost their jobs or were obliged to accept more poorly paid employment in more precarious conditions. The macroeconomic data indicate that recovery is under way and is stronger and occurring more rapidly than foreseen one year ago. In fact, regional growth in 2010 may well exceed the 4.1% forecast at the end of 2009. Consequently, although the unemployment rate may be expected to record a modest drop, it may not return to pre-crisis levels. The upturn is taking many different forms in the countries of the region. In some, especially in South America, recovery has benefited from the buoyancy of the Asian economies, whose demand for natural resources has driven large increases in exports, in terms of both volume and price. Countries whose economies are closely tied to the United States economy are benefiting from the recovery there, albeit more slowly and with a certain lag. Conversely, some countries are still suffering from major disequilibria, which are hampering their economic reactivation. Lastly, Chile and Haiti were both victims of devastating earthquakes early in the year and are therefore facing additional challenges associated with reconstruction, on top of their efforts to sustain an economic upturn. Despite the relatively favourable outlook for regional growth in 2010, great uncertainty still surrounds the global economy’s recovery, which affects the region’s economic prospects over the longer term. The weakness of the recovery in some regions and the doubts about its sustainability in others, as well as shocks that have occurred in international financial markets, are warning signs which authorities need to monitor continuously because of the region’s close integration with the global economy. In addition, a return to growth does not directly or automatically mean higher employment rates —still less decent working conditions. Although some labour indicators have performed reasonably favourably since the end of last year, the countries still face daunting challenges in improving the labour market integration of millions in Latin America and the Caribbean who are not seeing the fruits of renewed growth. This is why it is important to learn the lessons arising from the policies implemented during the crisis to offset its impact on labour markets. With this third joint bulletin, ECLAC and ILO continue to pursue their objective of affording the region the information and analyses needed to face these challenges, as regards both trends in the region’s labour markets and the corresponding policy options.

Price risk management in the copper market using commodity derivatives and options strategies

Metals price risk management is a key issue related to financial risk in metal markets because of uncertainty of commodity price fluctuation, exchange rate, interest rate changes and huge price risk either to metals’ producers or consumers. Thus, it has been taken into account by all participants in metal markets including metals’ producers, consumers, merchants, banks, investment funds, speculators, traders and so on. Managing price risk provides stable income for both metals’ producers and consumers, so it increases the chance that a firm will invest in attractive projects. The purpose of this research is to evaluate risk management strategies in the copper market. The main tools and strategies of price risk management are hedging and other derivatives such as futures contracts, swaps and options contracts. Hedging is a transaction designed to reduce or eliminate price risk. Derivatives are financial instruments, whose returns are derived from other financial instruments and they are commonly used for managing financial risks. Although derivatives have been around in some form for centuries, their growth has accelerated rapidly during the last 20 years. Nowadays, they are widely used by financial institutions, corporations, professional investors, and individuals. This project is focused on the over-the-counter (OTC) market and its products such as exotic options, particularly Asian options. The first part of the project is a description of basic derivatives and risk management strategies. In addition, this part discusses basic concepts of spot and futures (forward) markets, benefits and costs of risk management and risks and rewards of positions in the derivative markets. The second part considers valuations of commodity derivatives. In this part, the options pricing model DerivaGem is applied to Asian call and put options on London Metal Exchange (LME) copper because it is important to understand how Asian options are valued and to compare theoretical values of the options with their market observed values. Predicting future trends of copper prices is important and would be essential to manage market price risk successfully. Therefore, the third part is a discussion about econometric commodity models. Based on this literature review, the fourth part of the project reports the construction and testing of an econometric model designed to forecast the monthly average price of copper on the LME. More specifically, this part aims at showing how LME copper prices can be explained by means of a simultaneous equation structural model (two-stage least squares regression) connecting supply and demand variables. A simultaneous econometric model for the copper industry is built: {█(Q_t^D=e^((-5.0485))∙P_((t-1))^((-0.1868) )∙〖GDP〗_t^((1.7151) )∙e^((0.0158)∙〖IP〗_t ) @Q_t^S=e^((-3.0785))∙P_((t-1))^((0.5960))∙T_t^((0.1408))∙P_(OIL(t))^((-0.1559))∙〖USDI〗_t^((1.2432))∙〖LIBOR〗_((t-6))^((-0.0561))@Q_t^D=Q_t^S )┤ P_((t-1))^CU=e^((-2.5165))∙〖GDP〗_t^((2.1910))∙e^((0.0202)∙〖IP〗_t )∙T_t^((-0.1799))∙P_(OIL(t))^((0.1991))∙〖USDI〗_t^((-1.5881))∙〖LIBOR〗_((t-6))^((0.0717) Where, Q_t^D and Q_t^Sare world demand for and supply of copper at time t respectively. P(t-1) is the lagged price of copper, which is the focus of the analysis in this part. GDPt is world gross domestic product at time t, which represents aggregate economic activity. In addition, industrial production should be considered here, so the global industrial production growth that is noted as IPt is included in the model. Tt is the time variable, which is a useful proxy for technological change. A proxy variable for the cost of energy in producing copper is the price of oil at time t, which is noted as POIL(t ) . USDIt is the U.S. dollar index variable at time t, which is an important variable for explaining the copper supply and copper prices. At last, LIBOR(t-6) is the 6-month lagged 1-year London Inter bank offering rate of interest. Although, the model can be applicable for different base metals' industries, the omitted exogenous variables such as the price of substitute or a combined variable related to the price of substitutes have not been considered in this study. Based on this econometric model and using a Monte-Carlo simulation analysis, the probabilities that the monthly average copper prices in 2006 and 2007 will be greater than specific strike price of an option are defined. The final part evaluates risk management strategies including options strategies, metal swaps and simple options in relation to the simulation results. The basic options strategies such as bull spreads, bear spreads and butterfly spreads, which are created by using both call and put options in 2006 and 2007 are evaluated. Consequently, each risk management strategy in 2006 and 2007 is analyzed based on the day of data and the price prediction model. As a result, applications stemming from this project include valuing Asian options, developing a copper price prediction model, forecasting and planning, and decision making for price risk management in the copper market.

Explanation of changes in real estate stock market

The aim of this study is to explain the changes in the real estate prices as well as in the real estate stock market prices, using some macro-economic explanatory variables, such as the gross domestic product (GDP), the real interest rate and the unemployment rate. Several regressions have been carried out in order to express some types of incremental and absolute deflated real estate lock market indexes in terms of the macro-economic variables. The analyses are applied to the Swedish economy. The period under study is 1984-1994. Time series on monthly data are used. i.e. the number of data-points is 132. If time leads/lags are introduced in the e regressions, significant improvements in the already high correlations are achieved. The signs of the coefficients for IR, UE and GDP are all what one would expect to see from an economic point of view: those for GDP are all positive, those for both IR and UE are negative. All the regressions have high R2 values. Both markets anticipate change in the unemployment rate by 6 to 9 months, which seems reasonable because such change can be forecast quite reliably. But, on the contrary, there is no reason why they should anticipate by 3-6 months changes in the interest rate that can hardly be reliably forecast so far in advance.

The ‘Unknown Knowns’ of the Global Gas Market. CEPS Essay No. 16, 16 October 2014

Energy markets evolve at least as quickly as the economies they fuel. But development unfolds at an irregular pace, with starts and stops often precipitated by seemingly unpredictable dynamics. Is it really impossible to forecast these ‘revolutions’, if the past can be seen as prologue? The answer might be in the way we look at future events; even if we accept that some events are unpredictable, we may be able to infer much more about the future trends through a broader reading of available data, thus revealing ‘unknown knowns’ that may be useful in understanding paradigm shifts ahead. This paper presents an analysis of the global gas market, offering views on what the most relevant ‘unknown knowns’ of today look like, and hypotheses about some of the possible game-changing events that the market is likely to face in the short to medium term.

An economy with unrealistic indicators: an evaluation of the economic situation in Belarus and a forecast for 2013. OSW Commentary No. 103, 2013-02-20

The macroeconomic results achieved by Belarus in 2012 laid bare the weakness and the inefficiency of its economy. Belarus’s GDP and positive trade balance were growing in the first half of last year. However, this trend was reversed when Russia blocked the scheme of extremely lucrative manipulations in the re-export of Russian petroleum products by Belarus and when the demand for potassium fertilisers fell on the global market. It became clear once again that the outdated Belarusian model of a centrally planned economy is unable to generate sustainable growth, and the Belarusian economy needs thorough structural reforms. Nevertheless, President Alyaksandr Lukashenka consistently continues to block any changes in the system and at the same time expects that the economic indicators this year will reach levels far beyond the possibilities of the Belarusian economy. Therefore, there is a risk that the Belarusian government may employ – as they used to do – instruments aimed at artificially stimulating domestic demand, including money creation. This may upset the relative stability of state finances, which the regime managed to achieve last year. The worst case scenario would see a repeat of what happened in 2011, when a serious financial crisis occurred, forcing Minsk to make concessions (including selling the national network of gas pipelines) to Moscow, its only real source of loans. It thus cannot be ruled out that also this time the only way to recover from the slump will be to receive additional loan support and energy subsidies from Russia at the expense of selling further strategic companies to Russian investors.

State of Illinois forecast report / prepared for: State of Illinois, Commission on Government Forecasting and Accountability.

"Sophia Koropeckyj"--Summary page.

State of Illinois economic forecast report /

"Sophia Koropeckyj"--Summary page.

Econometrics of yield spreads in the money market:a note

The literature on bond markets and interest rates has focused largely on the term structure of interest rates, specifically, on the so-called expectations hypothesis. At the same time, little is known about the nature of the spread of the interest rates in the money market beyond the fact that such spreads are generally unstable. However, with the evolution of complex financial instruments, it has become imperative to identify the time series process that can help one accurately forecast such spreads into the future. This article explores the nature of the time series process underlying the spread between three-month and one-year US rates, and concludes that the movements in this spread over time is best captured by a GARCH(1,1) process. It also suggests the use of a relatively long term measure of interest rate volatility as an explanatory variable. This exercise has gained added importance in view of the revelation that GARCH based estimates of option prices consistently outperform the corresponding estimates based on the stylized Black-Scholes algorithm.

Az MTA KRTK KTI munkaerő-piaci előrejelző rendszere = The Institute of Economics labour-market forecasting system

Ebben a cikkben bemutatjuk az MTA KRTK KTI munkaerő-piaci előrejelző rendszerének nagy léptékű szerkezetét, a szerkezet kialakítása során követett főbb elveket. Ismertetjük a hazai gyakorlatban egyedülállóan összetett és széles körű adatrendszert, amelyen a becslést és az előrejelzést elvégeztük. Röviden kitérünk az ágazati GDP előrejelzésére, a modell keresleti és kínálati oldalának működésére, valamint a kereslet és kínálat közötti eltérések dinamikájának vizsgálatára. ______ The article presents the overall structure, and main principles followed in devising the structure, of the labour-market forecasting system developed by the Institute of Economics of the Research Centre for Economic and Regional Studies of the Hungarian Academy of Sciences (MTA KRTK KTI). The authors present the broad, comprehensive data system unprecedented in Hungarian practice, from which the estimate and forecast are made. The article diverges briefly onto the forecasting of branch GDP, the mode of operation of the supply and demand sides of the model, and examination of the dynamics of discrepancies between supply and demand.

Searching for return: How Google search engine query data can beat the market

Throughout the last years technologic improvements have enabled internet users to analyze and retrieve data regarding Internet searches. In several fields of study this data has been used. Some authors have been using search engine query data to forecast economic variables, to detect influenza areas or to demonstrate that it is possible to capture some patterns in stock markets indexes. In this paper one investment strategy is presented using Google Trends’ weekly query data from major global stock market indexes’ constituents. The results suggest that it is indeed possible to achieve higher Info Sharpe ratios, especially for the major European stock market indexes in comparison to those provided by a buy-and-hold strategy for the period considered.

How to develop the brand Monte da Ravasqueira in the Brazilian market

This paper studies the development of the brand Monte da Ravasqueira, in the Brazilian market. A brief industry analysis, together with the evaluation of microfactors, was undertaken in order to define a positioning statement, which would suit this specific brand. In addition, three strategic options were suggested in order to enter this market, followed by a marketing and communication plan. To conclude, a financial forecast was undertaken in order to examine the potential of the project.

Short-Term Trading for a Wind-PV Power Producer in an Electricity Market

This paper deals with the problem of coordinated trading of wind and photovoltaic systems in order to find the optimal bid to submit in a pool-based electricity market. The coordination of wind and photovoltaic systems presents uncertainties not only due to electricity market prices, but also with wind and photovoltaic power forecast. Electricity markets are characterized by financial penalties in case of deficit or excess of generation. So, the aim o this work is to reduce these financial penalties and maximize the expected profit of the power producer. The problem is formulated as a stochastic linear programming problem. The proposed approach is validated with real data of pool-based electricity market of Iberian Peninsula.