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Dive into the Numbers, Surf the Waves of Risk! Exploring the Quantum of Finance for Smarter Decisions! Hey financial enthusiasts! Ever wondered how the world of Quantitative Finance plays the superhero role in taming the wild waves of market risk? Let’s break it down! Quantitative Finance Unleashed: In a world driven by data, quantitative finance uses mathematical models, algorithms, and statistical techniques to unravel the secrets hidden in the market chaos. Risk Management Magic: From market volatility to black swan events, quantitative finance equips us with the analytical tools to predict, assess, and mitigate risks. It’s like having a financial crystal ball! Global Trends, Local Insights: Quant finance isn’t just about numbers; it’s about understanding the pulse of the market. It helps us make informed decisions, turning data into actionable insights. 🚀 Why It Matters: In a rapidly changing financial landscape, quantitative finance is our navigator, steering through uncertainties and paving the way for strategic financial planning.
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Title: A Deep Dive into the Digital Frontier: Artificial Intelligence’s Development and Effects Introduction: Few inventions in the history of technology have so powerfully captivated the public’s imagination and aroused the collective consciousness as artificial intelligence (AI). Its conceptual underpinnings have been surpassed by this dynamic area, which combines computer science and cognitive research, to become a transformational force that is transforming industries, economies, and the very foundation of our daily lives. Overview of the Historical Development of AI The theoretical underpinnings of artificial intelligence were first developed in the middle of the 20th century by visionaries like Alan Turing and John McCarthy. McCarthy’s use of the phrase “Artificial Intelligence” and Turing’s groundbreaking work on computation created the foundation for a scientific and philosophical investigation into the possibility of creating artificial intelligence. However, the area did not come to life until the latter half of the 20th century when computer capacity and algorithmic expertise combined. Applications in Different Sectors Applications for AI are found in many fields, and they all benefit from its analytical abilities. AI algorithms are used in healthcare to identify diseases and forecast patient outcomes by analysing medical data. AI is used in the financial sector for algorithmic trading, risk assessment, and fraud detection. AI is used by autonomous vehicles to make quick decisions that increase road safety. AI-generated material has begun to appear in the entertainment sector, from scriptwriting to music production. AI’s beating heart is machine learning. Machine Learning (ML), a subset that enables systems to learn from experience, is at the heart of AI’s functioning. ML algorithms continuously improve their knowledge based on user interactions, whether it be recommendation algorithms on streaming platforms or personalised material on social media. Neural networks are used in Deep Learning, a sophisticated type of machine learning, to model human decision-making. This has led to advancements in natural language processing, image identification, and even strategic games like Go. Ethics in Artificial Intelligence As AI becomes more and more ingrained in our daily lives, ethical questions have arisen. Fairness concerns are raised by bias in algorithms, which is frequently a reflection of the data they are trained on, particularly in decision-making processes like hiring and lending. Concerns about privacy are also raised by the gathering and use of personal data for AI-driven insights. Discussions about responsibility and openness in algorithmic decision-making are becoming more popular as AI develops its autonomy. Human-AI Cooperation: A Win-Win Situation Contrary to dystopian stories about robots taking over the world, a more nuanced perspective sees AI as a partner rather than a rival. Routine tasks can be automated to free up human resources for more innovative and strategic projects. The speed with which AI can digest
enormous amounts of data improves human decision-making. AI improves the diagnostic skills of medical experts in industries like healthcare, resulting in interventions that are more
precise and timely. Opportunities and Challenges on the Horizon The path to the AI of the future is not without difficulties. The “black box” aspect of some AI systems makes it difficult to comprehend their decision-making processes as algorithms get increasingly complicated. It is essential to ensure the ethical development and application of AI in order to avoid unforeseen outcomes. A societal issue that needs to be addressed is the requirement for continuing education and upskilling to stay up with AI breakthroughs.
The Impact of AI on the Future The future of AI looks to be both fascinating and complicated. Improvements in Natural Language Processing (NLP) could result in more natural interactions with AI systems, making them more user-friendly and intuitive. Robotics and AI could revolutionise sectors like manufacturing and logistics and achieve previously unheard-of levels of efficiency. With its capacity to process information at speeds that are currently unthinkable, quantum computing could pave the way for new developments in problem-solving and optimisation.
Navigating the AI Landscape, Conclusion To sum up, artificial intelligence sits at the nexus of opportunity and accountability. The direction of AI’s progress depends on our capacity to appropriately and ethically use its power as a society. Embracing the potential of AI while protecting against its perils becomes crucial as we navigate the complex environment of technological innovation. The convergence of human brilliance and artificial intelligence is set to shape our destiny in this digital age.
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Introduction Pursuing a Doctor of Philosophy (Ph.D.) is a monumental academic undertaking that requires years of unwavering dedication, intensive research, and intellectual rigor. Writing a doctoral thesis is at the heart of this educational journey – a complex document demonstrating the candidate’s original research and significantly contributing to their chosen field. In today’s ever-changing academic landscape, the emergence of doctoral thesis writing services has proven to be an essential lifeline, providing guidance, expertise, and comprehensive support throughout this arduous yet rewarding adventure. The Evolution of Ph.D. Thesis Writing Services The modern academic landscape has seen an exponential increase in demand for doctoral thesis writing services, a phenomenon that closely mirrors the increase in enrollments in graduate programs and the increasing complexity of research topics. These services have undergone a transformative evolution, transcending traditional simple proofreading and editing roles. They now include a full range of support mechanisms that address Ph.D. aspirants’ diverse and nuanced needs. Expert advice: One of the most compelling benefits of doctoral dissertation writing services is the unparalleled accessibility they provide to their team of senior academics and subject matter experts. These experts offer invaluable insight, helping candidates refine their research, design robust methods, and position their work within the broader academic discourse.
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The liberalisation of the ASEAN air transportation sector has increased tremendous competition in the business approaches of Air carriers and Passenger traffic. This research work is about the process of understanding the act of liberalisation through the Open Sky policy and analyse the same in terms of the increasing competition in the selected domains. For this purpose the Case Study research methodology has been selected as the appropriate means of meeting the answers to the research questions. Moreover, interview sessions with experienced professionals from the aviation sector are also considered by this research work. The basic idea is to know the competitive advantages and the disadvantages led by liberalisation in the business approaches of air carriers and passenger traffic in ASEAN region. The data collected for CAPA (2016) will also be analysed in justification of growth that the liberalisation has added to the aviation sector. The way to control the activity of liberalisation for better benefit of the ASEAN aviation sector will remain as core target of this research work.
Executive Summary
The liberalisation of the ASEAN air transportation sector has increased tremendous competition in the business approaches of Air carriers and Passenger traffic. This research work is about the process of understanding the act of liberalisation through the Open Sky policy and analyse the same in terms of the increasing competition in the selected domains. For this purpose the Case Study research methodology has been selected as the appropriate means of meeting the answers to the research questions. Moreover, interview sessions with experienced professionals from the aviation sector are also considered by this research work. The basic idea is to know the competitive advantages and the disadvantages led by liberalisation in the business approaches of air carriers and passenger traffic in ASEAN region. The data collected for CAPA (2016) will also be analysed in justification of growth that the liberalisation has added to the aviation sector. The way to control the activity of liberalisation for better benefit of the ASEAN aviation sector will remain as core target of this research work.
1.1 Background Overview The ASEAN Single Aviation Market, or as popularly termed as ASEANSAM is the ASEAN Open Sky policy, which gets recognised as the most major policy of this particular region. Based on this policy, ASEANSAM geared up all the developmental approaches and further aimed in enhancing the unified as well as the market of single aviation business among the ASEAN members. According to the report of Tan (2009), the initial proceedings of ASEANSAM for the Southeast Asian members date back to 1 st of Jan., 2016. The Air Transport Working Group of ASEAN proposed the policy of ‘Open Sky’ in the aviation domain, and the same was supported by Senior Transport Officials. Moreover, ASEAN Transport Ministers endorsed it. The research based declarations of Chinaview (2007) and Tan (2009) state that the establishment of ASEANSAM was initiated with the aim to establishment the strong hold of ASEAN Economic Community, whereby it was expected to get accomplished by the activity of liberalization and air travel business among the ASEAN members. The approach of the ‘Open Sky’ policy is to offer direct benefits to the aviation sector and add the element of growth and sustainability in the business of air travel in the global sky. This policy is also meant to establish free tourism related services, ventures of trade and commerce, and assist in high quality based services to all the ASEAN member states (Chinaview, 2007 and Tan, 2009).
1.2 Problem Formulation The problem that this research laid emphasis on- is about the clashes of policies and agreements that are liable to happen between the aviation services of the ASEAN member state. Based on the investigative research of Forsyth, et al. (2004) and Forsyth & Rodolfo
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Liberalisation in Aviation: ASEAN Open Sky Page 5 (2006), this research concentrates in gaining the key towards progressive solution to the probable clashes. It also is in pursuit of attaining adequate amount of resolution in the implementation of liberalisation to the aviation industry under the regulations of ‘Open Sky’. The problem with the air traffic liberalisation among the capital cities, the ASEAN members are subject to get into the competition of holding unified aviation principles and at the same time designate individual competitive approaches, hence the current research approach.
1.3 Research Questions Keeping in consideration with the aforementioned problem formulation, the current research has attained some questions in terms of understanding the challenging competitive platform between the air carriers and passenger traffic, while implementing and developing ‘Open Sky’ policy, by the ASEAN liberalisation of aviation sector. These are the research questions are as follows:
What is the process of liberalisation of the air transportation system in the region?
How does liberalisation of the air transportation system create an impact on the competition between air carriers and passenger traffic?
What is the impact of air transport liberalisation on competition between air carriers and passenger traffic in ASEAN region?
What are the recommendations provided to appropriate entities for controlling liberalisation of the air transportation system that creates an impact on the competition between air carriers and passenger traffic in ASEAN region? The selection of these questions are meant for the understanding of the ‘Open Sky’ policy and the impact that the same as on the futuristic approaches of air carriers and passenger
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Liberalisation in Aviation: ASEAN Open Sky Page 6 traffic among the ASEAN members. Moreover, these are the questions that are further considered in adding research objectives to the current paper and are mentioned hereafter.
1.4 Research Objectives This research paper aims in gaining the insight into the liberalisation of Aviation in the peripheral count of ‘Open Sky’ venture noted by ASEAN. Diversified aspects, especially the concerns of capacity deregulation, along with the approach on the process of implementing price related controls, will be investigated hereby. This research work will focus in understanding all sorts of different agreements and policies, counted as per geographic as well as functional dimensions in the competitive arena of air carriers and passenger traffic, for the meeting the liberalisation approaches as noted by the formulations of ASEAN ‘Open Sky’. The core objectives of this research paper are as follows-  To gain adequate critical information about the relevance of liberalisation through ‘Open Sky’ by ASEAN.  To understand the challenges and the issues related to the developmental approach of ASEAN air carriers.  To understand the challenges and the issues related to the developmental approach of ASEAN passenger traffic.  To identify the competitive stress among the air carriers & passenger traffic, caused by liberalised ‘Open Sky’.  To figure out the possible resolutions in offering better competitive edge to ASEAN air carriers and passenger traffic. 1.5 Research Rationale The rationale behind this research work, is to gain a critically analysed understanding of the liberalisation of ASEAN aviation sector and to point out the impact of ‘Open Sky’ policy
over the ASEAN air carriers and passenger traffic. As this gets initiated this research paper aims in offering resolution to the increasing competitive stress between the air carriers and passenger traffic of the ASEAN members. The chief purpose is to derive all those proceeding through which this research can aim in generating the positive aspects of liberalisation and eventually add a comfort level to the international competitive platform of aviation industry.
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CQF Final Projects January 23 Cohort Released already. Below is the Project topic mentioned below :
Credit Spread for a Basket Product (CR)
Deep Learning for Financial Time Series (DL)
Pairs Trading Strategy Design & Back test (TS)
Portfolio Construction using Black-Litterman Model and Factors (PC)
Optimal Hedging with Advanced Greeks (DH)
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Exam Schedule for the June 2023 Cohort Program is attached below :
Exam Released Submission date
Level 1 Exam 1 4th August 23 18th August 23
Exam 2 12 September 23 26th Sept 23
Level 2 Exam 3 12th October 23 26th October 23
Final Project 27th November 23 22nd January 24
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