Treballs de l'ESCI (Escola Superior de Comerç Internacional)
URI permanent per a aquesta comunitat http://hdl.handle.net/10230/43921
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Item type: Item , Analysis of the import dependency on Moroccan phosphates in Catalan companies: study of alternatives and cost assessment in the Catalan agricultural sector(2025-05-22) Calafí Franquesa, JordiPhosphates are a critical commodity for modern agriculture, with no viable substitute to sustain current productivity levels. Their global availability is limited, with Morocco holding around 70% of known reserves. A significant portion is extracted by Morocco from disputed zones, causing legal and supply concerns. Given Spain’s strong trade ties with Morocco, Catalan agriculture is highly dependent on these imports. This study analyses the phosphate supply chain in Catalonia, the risks associated with Moroccan dependency, and the viability of alternative supply sources. The research follows a mixed-methods approach, combining quantitative trade data and market indicators with qualitative testimonies from key stakeholders to assess resilience and future strategies.Item type: Item , From local to visible: designing an organic digital marketing strategy for "Quatre 40 òptics"(2025-05-22) Icart Gago, GeorginaThis final degree project aims to design an organic digital marketing strategy for Quatre 40 Òptics, a local optician in Cardedeu (Barcelona), specialised in visual and hearing care. Given the limited resources of small businesses compared to large retail chains, the study explores whether an independent store can increase its visibility and engage with its audience through unpaid digital actions. The hypothesis is that an organic digital marketing strategy can improve Quatre 40 Òptics’ brand visibility and customer engagement without relying on paid advertising, through website optimisation and active social media presence. The methodology is structured into three main phases: analysis, strategic definition, and action plan. The internal analysis includes sales data, product types, and customer profiles; the external analysis includes a PESTEL framework, competitor review, and SWOT matrix. Based on these insights, the strategy defines SMART objectives, KPIs, buyer personas, and four strategic pillars: improving the website, SEO positioning, optimising Google My Business, and developing an Instagram content plan. The proposed actions aim to increase organic traffic, strengthen local visibility, build trust through customer reviews, and connect with the audience through consistent visual storytelling. Additional proposals include a multi-page website structure, a monthly blog, and a tailored social media calendar based on the identified target segments. The project’s conclusions partially confirm the initial hypothesis. While an organic strategy can be effective, its viability depends strongly on having basic digital marketing knowledge and implementation capabilities. Without these skills, even free tools may be insufficient for long-term success. In conclusion, this project shows that digital visibility is not solely a matter of budget, but also of strategic clarity, brand coherence, and the ability to adapt to local consumers’ digital habits.Item type: Item , Bright signals catcher: intelligent algorithm for real-time buy and sell signal generation(2025-05-22) Rebollo Dufner, PaulaTrading has now become more popular thanks to the accessibility of online platforms, the information given by social media and the availability of updated market data. However, one of the biggest challenges still remains: traders struggle daily with managing their emotions when making decisions. These strong feelings lead to mistakes that affect their results, especially for individual traders who don’t have the tools and discipline of professional investors. This project was born from the idea of solving that problem by creating a tool that helps traders avoid emotional decisions and stick to objective rules. The goal was to design, develop and test an algorithm capable of generating automatic buy and sell signals based on technical analysis, making the trading process more structured and less emotional. The algorithm combines several popular technical indicators that analyse price patterns to detect high-probability trading opportunities. It was designed and tested on the NASDAQ using a 1-hour timeframe. Through backtesting over multiple years, the strategy showed that it can perform consistently in different market conditions while managing risk effectively. While the main goal was to test the reliability and value of such a tool, the project also explores how to monetize it through TradingView’s private script feature. This system protects the code while allowing users to access the signals by paying a monthly subscription through PayPal. To promote the algorithm, a social media strategy was implemented, building a growing community of traders on platforms like Instagram, Twitter, TikTok, and TradingView. In short, this project offers a practical example of how technology can be used to help traders improve their performance by making more disciplined decisions, while also showing a possible business model to bring this type of solution to market.Item type: Item , Evaluating residential real estate investment strategies: a comparative financial analysis of long-term and touristic tenancy in Houston’s urban housing market(2025-05-22) Tinoco Morales, JimenaThis thesis examines the comparative financial performance of long-term and short-term touristic residential real estate investment strategies within the Houston metropolitan housing market, specifically defined to Harris County. Amid heightened global economic volatility and growing investor demand for resilient asset classes, real estate emerges as a stable mode of income generation, capital preservation, and long-term appreciation. The study seeks to determine which investment strategy yields a higher return on equity over a five-year horizon, considering controlled acquisition, financing and equity appreciation conditions. A quantitative, scenario-based approach is adopted using a single-family home selected amongst prominent neighborhoods in Houston’s Garden Oaks. Cash flow and equity appreciation models for each strategy are constructed based on empirical market data, macroeconomic projections, and operational assumptions derived from institutional sources and expert interviews. Financial performance metrics such as return on equity, internal rate of return, and net present value are used to evaluate and compare each strategy, before and after adjustments for inflation and macroeconomic change. These projections aim to align investment expectations with macroeconomic realities. Findings reveal that both strategies benefit significantly from property appreciation, which serves as the principal driver of returns. The long-term lease strategy outperforms in terms of financial sustainability by generating consistent annual cash flows and ideal debt-coverage ratios. In contrast, the short-term rental strategy, while capable of producing higher gross revenue, is constrained by an elevated cost structure. Unavoidable costs represent the greatest point of revenue erosion, mainly municipal taxes and platform-based commissions. Its profitability relies heavily on capital appreciation to offset operational deficits. The study concludes that, under current economic and regulatory conditions, long-term rentals provide a more reliable, financially efficient, and solvent investment mode. Recommendations include extending the available research on quantitative relationships between macro-factors and housing market indicators, as a well-rounded model would allow for more accurate estimates of real estate investment performance amidst shifting macroeconomic conditions. Nonetheless, as a case study broader extrapolations of the model across a set of properties and incorporating risk-based scenario simulations could better account for demand fluctuations, policy changes, and asset-level variability.Item type: Item , Transcriptional and regulatory divergence between BRAF-V600E and non-V600E colon cancers(2025-06-18) Yuziv Duda, TarasAquest projecte investiga les diferències transcriptòmiques i reguladores entre tumors de còlon amb mutacions BRAF-V600E, BRAF no-V600E i BRAF WT. Utilitzant dades d’RNA-seq i mutacions de les cohorts TCGA-COAD i E-MTAB-12862, vam dur a terme un anàlisi d’expressió diferencial i vam inferir l’activitat dels reguladors amb l’algoritme VIPER. Els tumors amb BRAF-V600E mostraren una forta activació immune i desregulació dels programes epitelials, mentre que els tumors amb mutacions no-V600E eren més heterogenis. L’anàlisi de xarxes reguladores va identificar conjunts diferenciats de factors de transcripció i proteïnes de senyalització segons el subtipus tumoral.