Search results for "Trading"

showing 10 items of 119 documents

Tirdzniecības uzņēmumu organizēšana: diplomdarbs

1936

TirdzniecībaDiplomdarbi:SOCIAL SCIENCES::Business and economics::Business studies [Research Subject Categories]Trading companiesHandelsunternehmenUzņēmējdarbības menedžmentsTirdzniecības uzņēmumi
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Instruction für die Messer

1853

TirdzniecībaPreces - tirdzniecība 19. gs.Trading:SOCIAL SCIENCES::Business and economics::Economics [Research Subject Categories]Tirdzniecība 19. gs. (Rīga Latvija)Handeln 19. JahrhundertProdukcijas kvalitāte - instrukcijas
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Anhang zur Broschüre: Beitrag zur Lösung der Lagerhaus- und Warrantbelehnungsfrage für Riga

1880

TirdzniecībaTrading:SOCIAL SCIENCES::Business and economics::Business studies [Research Subject Categories]HandelnLagerhause - RigaWarehouses managementNoliktavas - Rīga
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Verordnung und Instruction für das Liggeramt in Riga

1861

TirdzniecībaTrading:SOCIAL SCIENCES::Business and economics::Economics [Research Subject Categories]Tirdzniecība 19. gs. (Rīga Latvija)LiģeriHandeln 19. Jahrhundert
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Trading in Other Financial Markets

2017

This chapter tests the profitability of various moving average trading rules in different financial markets: stocks, bonds, currencies, and commodities. The results of these tests allow us to better understand the properties of the moving average trading strategies and find out which trading rules are profitable in which markets. The chapter concludes with a few practical recommendations for traders testing the profitability of moving average trading rules. The analysis presented in this chapter also suggests a hypothesis about simultaneous existence, in the same financial market, of several trends with different durations.

Trading rulesMoving averageBondFinancial marketProfitability indexTrading strategyMonetary economicsBusiness
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Technical Trading Rules

2017

This chapter reviews the most common trend-following rules that are based on moving averages of prices. It also discusses the principles behind the generation of trading signals in these rules. This chapter also illustrates the limitations of these rules and argues that the moving average trading rules are advantageous only when the trend is strong and long-lasting.

Trading rulesMoving averageComputer scienceTechnical analysisEconometrics
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Trading the Standard and Poor’s Composite Index

2017

This chapter utilizes the longest historical sample of data on the SP whether the choice of moving average influences the performance of trading rules; how accurately the trading rules identify the bullish and bearish stock market trends; whether there is any advantage in trading daily rather than monthly; and how persistent is the outperformance delivered by the moving average trading rules. The results of this study allow us to revisit the myths regarding the superior performance of the moving average trading rules in this well-known stock market and fully understand their advantages and disadvantages.

Trading rulesMoving averageFinancial economicsStock marketSample (statistics)BusinessComposite index
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Transaction Costs and Returns to a Trading Strategy

2017

This chapter starts with a review of transaction costs in capital markets. Then it demonstrates how to simulate the returns to a moving average trading strategy in the presence of transaction costs. The following two cases are considered when a trading indicator generates a sell signal: case one where the trader switches to cash, and case two where the trader alternatively sells short a financial asset.

Transaction costAlternative trading systemFinancial assetFinancial economicsPairs tradecomputer.software_genreElectronic tradingMicroeconomicsComputingMilieux_COMPUTERSANDSOCIETYTrading strategyBusinessAlgorithmic tradingCapital marketcomputer
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Trend Following with Momentum Versus Moving Average: A Tale of Differences

2018

Despite the ever-growing interest in trend following and a series of publications in academic journals, there is still a great shortage of theoretical results on the properties of trend following rules. Our paper fills this gap by comparing and contrasting the two most popular trend following rules, the Momentum (MOM) and Moving Average (MA) rules, from a theoretical perspective. Our approach is based on the return-based formulation of trading rules and modelling the price trends by an autoregressive return process. We provide theoretical results on the similarity between various trend following rules and the forecast accuracy of trading rules. Our results show that the similarity between t…

Trend followingMomentum (finance)Trading rulesSimilarity (network science)Autoregressive modelMoving averageTechnical analysisEconometricsEconomic shortageMathematicsSSRN Electronic Journal
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Timing the US Stock Market Using Moving Averages and Momentum Rules: An Extensive Study

2017

Master's thesis Business Administration BE501 - University of Agder 2017 In this thesis we investigate the performance of moving average and momentum strategies by simulating returns, both in-sample and out-of-sample, while simultaneously taking into account important market frictions. We do so for two stock indices and four stock portfolios, at daily and monthly frequency, in the period from 1928 to 2015. This is carried out in order to examine if the active strategies outperform the passive benchmark on a risk-adjusted basis, and to see if the trading rules pro table when tested in-sample also are pro table out-of-sample. In addition, and for the rst time, we examine the relevance of data…

VDP::Samfunnsvitenskap: 200::Økonomi: 210out-of-sample simulationstime-series momentummoving averagesBE501market timingtechnical analysistrading frequency
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