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What is a Technical Analysis ?
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  • Management Dictionary
  • Corporate and Market Finance

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What is a Technical Analysis ?

Technical analysis involves studying historical price movements and trading volumes to predict future trends in financial assets. It relies on charts and technical indicators and does not consider the intrinsic value of a company.

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Auteur.e(s)

SALLOUM Charbel
Professeur associé
EM Normandie

Institution(s)

Médias de la même institution

  • 00:03:57

What is a Virtual Influencer?

Virtual influencers are 100% Computer Generated Influencers created by AI and 3D artists. These virtual influences can model, sing, and even interact with fans—without ever existing in real life. Despite the risks of virtual influencers (e.g., lack of authenticity, ethical and transparency concerns, etc.), they represent enormous opportunities for brands.
ZAMAN Mustafeed - EM Normandie |
  • Management Dictionary
  • Digital Transformation, Marketing, Sales and Communication
  • 00:03:47

In Machine Learning We Trust: A Bankruptcy Prediction Application

Recently, ensemble-based machine learning models have been widely adopted and have demonstrated their effectiveness in bankruptcy prediction. However, these algorithms often function as black boxes, making it difficult to understand how they generate forecasts. This lack of transparency has led to growing interest in interpretability methods within artificial intelligence research. In this paper, we assess the predictive performance of Random Forest, LightGBM, XGBoost, and NGBoost (Natural Gradient Boosting for probabilistic prediction) on French firms across various industries, with a forecasting horizon of one to five years. We then apply Shapley Additive Explanations (SHAP), a model-agnostic interpretability technique, to explain XGBoost, one of the best-performing models in our study. SHAP highlights the contribution of each feature to the model’s predictions, enabling a clearer understanding of how financial and macroeconomic factors influence bankruptcy risk. Moreover, it allows for the explanation of individual predictions, making black-box models more applicable in credit risk management.
NGUYEN Hoang Hiep - EM Normandie |
  • Research
  • Corporate and Market Finance
  • 00:03:48

Emerging Economies and the Race for Environmental Responsibility

This research explores Corporate Environmental Responsibility (CER) in emerging economies, focusing on Peru and Chile. Climate change is reshaping businesses, but these economies face unique challenges. The study used fuzzy-set qualitative comparative analysis to examine 500+ companies and their motivation to invest in CER.
RUBINOS Cathy - EM Normandie |
  • Research
  • Digital Transformation, International Management, Strategic Management, Sustainable Development and CSR
  • 00:03:06

Menopause in Organizations : Education for All

Drawing from women's testimonials in The Guardian and from contributions of feminist writers, Virginia Woolf, Julia Kristeva, and Margaret Mead, we start a conversation on the positive and energizing aspects of menopause in the workplace. We propose a social interpretation of menopause that challenges a pervasive perspective of medical decline: A theorization of “the dialectic of zest,” as inspired by the writings of Margaret Mead. By problematizing the experiences of women going through this transition in the workplace, we reveal how well-intentioned awareness campaigns can lead to further stigmatization. We thus encourage organizations to not only favor an approach of “education for all” but also extend their social imaginaries beyond medicalized perspectives and coping views.
QUENTAL Camilla - EM Normandie |
  • Trends
  • Human Resources Management, Management of Social and Solidarity Organizations, Strategic Management

Médias de la même thématique

  • 00:02:43

What is the Initial Coin Offering?

An Initial Coin Offering (ICO) is a modern fundraising method for start-ups, similar to crowdfunding but using digital tokens instead of traditional cash or rewards. Investors purchase these tokens, which they can later use to buy the product or resell for potential profit. ICOs provide entrepreneurs with a global financing opportunity while offering investors early access to innovative projects. Overall, ICOs connect entrepreneurship, finance, and blockchain technology, making them a revolutionary tool for start-up funding.
DELL’ERA Michele - EDC Business School |
  • Management Dictionary
  • Corporate and Market Finance, Entrepreneurship
  • 00:04:23

Environmental Tax Policies in Emerging Markets: Does Confidence in Political Institutions Matter?

The goal of this study is to examine how environmental taxes influence the comparative advantage in environmental products and carbon emissions within emerging economies. To gain a better understanding, we examine whether this impact changes depending on the level of government integrity. The results indicate that increased environmental taxes mitigate the comparative advantage in environmental goods for emerging markets. However, for countries with high levels of government integrity, higher environmental taxes enhance their competitive edge in environmental goods. Additionally, our findings show that although a rise in environmental taxes is associated with higher carbon emissions, raising such taxes results in a reduction in carbon emissions for emerging economies with solid government integrity. These findings suggest that robust political institutions are crucial in promoting the comparative advantage of emerging markets in environmental goods and mitigating climate change. In the absence of substantial confidence in political or governmental institutions, the efficient implementation of climate taxes poses considerable challenges. Furthermore, we observe that an increase in the comparative advantage of environmental goods results in a decrease in carbon emissions.
KOCAARSLAN Baris - EDC Business School |
  • Research
  • Corporate and Market Finance
  • 00:03:47

In Machine Learning We Trust: A Bankruptcy Prediction Application

Recently, ensemble-based machine learning models have been widely adopted and have demonstrated their effectiveness in bankruptcy prediction. However, these algorithms often function as black boxes, making it difficult to understand how they generate forecasts. This lack of transparency has led to growing interest in interpretability methods within artificial intelligence research. In this paper, we assess the predictive performance of Random Forest, LightGBM, XGBoost, and NGBoost (Natural Gradient Boosting for probabilistic prediction) on French firms across various industries, with a forecasting horizon of one to five years. We then apply Shapley Additive Explanations (SHAP), a model-agnostic interpretability technique, to explain XGBoost, one of the best-performing models in our study. SHAP highlights the contribution of each feature to the model’s predictions, enabling a clearer understanding of how financial and macroeconomic factors influence bankruptcy risk. Moreover, it allows for the explanation of individual predictions, making black-box models more applicable in credit risk management.
NGUYEN Hoang Hiep - EM Normandie |
  • Research
  • Corporate and Market Finance
  • 00:04:05

Algorithmic trading, what if it is just an illusion?

We experimentally investigate whether and how the potential presence of algorithmic trading (AT) in human-only asset markets can influence humans’ price forecasts, trading activities and price dynamics. Two trading strategies commonly employed by high-frequency traders, spoofing (SP) – associated with market manipulation – and market making (MM) – seen as liquidity provision – are considered.
JACOB-LEAL Sandrine - FNEGE |
  • Research
  • Corporate and Market Finance
Corporate and Market Finance

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