Bias in Forensic Examination

The article discusses various aspects of the influence of bias on the formation of conclusions of a forensic expert. The author highlights that the negative effect of bias is especially significant in identification examinations, where the conclusions are based on subjective interpretations of the results of marks comparison (toolmark, fingerprint, firearms examinations, and others). The author also notes that there is no clear border between objectivity and subjectivity in forensic examinations. All types of forensic examinations exist in an objective-subjective continuum, which causes different conclusions’ reliability. Since subjectivity is the basis for bias formation, minimizing its impact can be achieved in several ways – increasing the “transparency” of documenting the research process, technical analysis and verification of an expert’s opinion, applying quantitative criteria for evaluating the matching features in the compared marks. The most logical way to reduce the influence of bias is to eliminate the causes that give rise to this phenomenon. These are the excessive contextual information provided to the expert, the expert’s deviation from the requirements of methodological recommendations in examining the objects, and various external and internal influences.

A Comparative Study of Fundamental and Technical Analysis on Private Sector Banks

All investment is the allocation of money to assets that are expected to yield some gain over a period of time. One of the best high risk and return investments was buying shares in stock exchange. Through these fundamental and technical analysis helps to reduce the risk. The fundamental analysis is used to understand the trend and growth of the economic, industry and company. For this analysis investor used many tools like EPS, PE ratio, Book value, ROE, etc. The technical analysis is used to understand price moment of the stocks and index. For this analysis investor used many tools like Trend, Support and Resistance, RSI, MACD, etc. From this study investors can able to understand and find low risk stocks in Nifty Private Bank. There is no analysis tools and strategy to find the risk free stock. This analysis helps to find the profitable stocks in Nifty Private Bank.

Development of a Stock Price Prediction Framework for Intelligent Media and Technical Analysis

Equity traders are always looking for tools that will help them maximise returns and minimise risk, be it fundamental or technical analysis techniques. This research integrates tools used by equity traders and uses them together with machine learning and deep learning techniques. The presented work introduces a South African-based sentiment classifier to extract sentiment from new headlines and tweets. The experimental work uses four machine learning models for fundamental analysis and six long short-term memory model architectures, including a developed encoder-decoder long short-term memory model for technical analysis. Data used in the experiments is mined and collected from news sites, tweets from Twitter and Yahoo Finance. The results from 2 experiments show an accuracy of 96% in predicting one of the major telecommunication companies listed on the JSE closing price movement while using the linear discriminant analysis model and an RMSE of 0.023 in predicting a significant telecommunication company closing price using encoder-decoder long short-term memory. These findings reveal that the sentiment feature contains an essential fundamental value, and technical indicators also help move closer to predicting the closing price.

Energy crypto currencies and leading U.S. energy stock prices: are Fibonacci retracements profitable?

This paper investigates the role of Fibonacci retracements levels, a popular technical analysis indicator, in predicting stock prices of leading U.S. energy companies and energy cryptocurrencies. The study methodology focuses on applying Fibonacci retracements as a system compared with the buy-and-hold strategy. Daily crypto and stock prices were obtained from the Standard & Poor's composite 1500 energy index and CoinMarketCap between November 2017 and January 2020. This study also examined if the combined Fibonacci retracements and the price crossover strategy result in a higher return per unit of risk. Our findings revealed that Fibonacci retracement captures energy stock price changes better than cryptos. Furthermore, most price violations were frequent during price falls compared to price increases, supporting that the Fibonacci instrument does not capture price movements during up and downtrends, respectively. Also, fewer consecutive retracement breaks were observed when the price violations were examined 3 days before the current break. Furthermore, the Fibonacci-based strategy resulted in higher returns relative to the naïve buy-and-hold model. Finally, complementing Fibonacci with the price cross strategy did not improve the results and led to fewer or no trades for some constituents. This study’s overall findings elucidate that, despite significant drops in oil prices, speculators (traders) can implement profitable strategies when using technical analysis indicators, like the Fibonacci retracement tool, with or without price crossover rules.

INFLUENCE OF LOG LENGTH ON THE PRODUCTIVITY OF WOOD HARVESTING AND TRANSPORTATION

The selection of machines and the development of operating systems are the major challenge for reducing costs in harvesting and forest transportation. This work aimed to carry out a technical analysis of harvesting and forest transport activities in two different log lengths (6 and 7m). The operational cycles of the Harvester, Forwarder and combined road train vehicle in mechanized harvest areas were evaluated. The technical analysis was performed through studies of times and movements, determining the operational efficiency and productivity of the machines. According to the results, processing consumed most of the harvester's operational cycle, while in the forwarder, the most time was consumed 35,2 and 45,2 m³·he-1 and 42,84 and 75,42 m³.he-¹. The larger log size led to an increase in the productivity of the harvester by 28% and the forwarder by 48%. Among the studied models of road train vehicles, the one that showed the best results both in the analysis made with a length of 6 m and 7 m, was the dimensions with 2.35 m in width and 2.85 in height. These vehicles had a total gross weight of 63.52 tonnes for logs with a length of 6m and 69.17 tons for logs of 7m, with an 8.17% higher performance compared to 6m logs. With the obtained results it can be concluded that the increase in the length of the logs increased the productivity and the performance of the harvest and the forest transport.

Does Technical Analysis Win?

The main goal of this chapter is to analyze the performance of four investment strategies within a recent period of international political uncertainties. RSI and MACD supported three competing investment strategies, which were compared to the conservative Buy and Hold strategy. Euro Stoxx 50 Index was selected through the Markowitz Theory, and the DAX index was established as a benchmark. The period considered was between the start of Donald Trump's official campaign to the US elections and the first date set for Brexit. Two subsequent additional studies were performed to evaluate their profitability. The entry and exit points were determined by international economic reports. Alternative time lengths for the RSI window were considered. The results suggest that, when the market is bear or undefined, the investor should have a strategy supported on technical analysis and he should consider more than one indicator to increase the information that is taken from the market. The passive Buy and Hold strategy should be considered when the market is considered a bull market.